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awesome-rl-for-cybersecurity
A curated list of resources dedicated to reinforcement learning applied to cyber security.
https://github.com/Limmen/awesome-rl-for-cybersecurity
- (2024) The Path to Autonomous Cyber Defense
- (2023) A Review of Techniques and Policies on Cybersecurity Using Artificial Intelligence and Reinforcement Learning Algorithms
- (2023) Automated Cyber Defence: A Review
- (2022) The Confluence of Networks, Games, and Learning a Game-Theoretic Framework for Multiagent Decision Making Over Networks
- (2022) Cyber-security and reinforcement learning — A brief survey
- (2022) Blockchain and Federated Deep Reinforcement Learning Based Secure Cloud-Edge-End Collaboration in Power IoT
- (2022) Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
- (2022) Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security
- (2021) Reinforcement Learning for Feedback-Enabled Cyber Resilience
- (2021) Prospective Artificial Intelligence Approaches for Active Cyber Defence
- (2019) Deep Reinforcement Learning for Cyber Security
- (2023) The Cyber Security Learning Environment (CSLE) v.0.2.0 Demo
- (2022) A System for Interactive Examination of Learned Security Policies
- (2023) Autonomous Cyber Defence: A roadmap from lab to ops
- (2022) The Mathematics of Cyber Defense
- (2024) Attacker Hunting in the Intranet using Multi-agent Reinforcement Learning
- (2024) A Novel Two Step Computer Network Attack and Defense Strategy
- (2024) AdaRisk: Risk-adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection
- (2024) Design of an Autonomous Cyber Defence Agent using Hybrid AI models
- (2024) Reinforcement Learning Approach for IoT Security using CyberBattleSim: A Simulation-based Study
- (2024) Knowledge-Informed Auto-Penetration Testing Based on Reinforcement Learning with Reward Machine
- (2024) Evolving malware detection through instant dynamic graph inverse reinforcement learning
- (2024) Evolving malware detection through instant dynamic graph inverse reinforcement learning
- (2024) Intelligent Prevention of DDoS Attacks using Reinforcement Learning and Smart
- (2024) Application Study on the Reinforcement Learning Strategies in the Network Awareness Risk Perception and Prevention
- (2024) Reinforcement learning-based autonomous attacker to uncover computer network vulnerabilities
- (2024) Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations
- (2024) DRL²FC: An Attack-Resilient Controller for Automatic Generation Control Based on Deep Reinforcement Learning
- (2024) Interpretable Cross-Layer Intrusion Response System Based on Deep Reinforcement Learning for Industrial Control Systems
- (2024) A method of network attack-defense game and collaborative defense decision-making based on hierarchical multi-agent reinforcement learning
- (2024) Leveraging Deep Reinforcement Learning Technique for Intrusion Detection in SCADA Infrastructure
- (2024) Off-Policy Actor-Critic Deep Reinforcement Learning methods for alert prioritization in Intrusion Detection Systems
- (2024) Security Assessment of Industrial Control System Applying Reinforcement Learning
- (2024) Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
- (2024) Intrusion Tolerance for Networked Systems through Two-Level Feedback Control
- (2024) Optimal Attack Path Planning based on Reinforcement Learning and Cyber Threat Knowledge Graph Combining the ATT&CK for Air Traffic Management System
- (2024) Comparative DQN-Improved Algorithms for Stochastic Games-based Automated Edge Intelligence-enabled IoT Malware Spread-Suppression Strategies
- (2024) Deep Reinforcement Learning Approach for Cyberattack Detection
- (2024) WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
- (2024) Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks
- (2024) Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare
- (2024) Mirage: cyber deception against autonomous cyber attacks in emulation and simulation
- (2024) PenGym: Pentesting Training Framework for Reinforcement Learning Agents
- (2024) How to Train your Antivirus: RL-based Hardening through the Problem-Space
- (2024) Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games
- (2024) Commissioning Federated Reinforcement Learning to Envision Network Security Strategies
- (2024) Transforming Cybersecurity Dynamics: Enhanced Self-Play Reinforcement Learning in Intrusion Detection and Prevention System
- (2024) Automated Security Response through Online Learning with Adaptive Conjectures
- (2024) IoTWarden: A Deep Reinforcement Learning Based Real-time Defense System to Mitigate Trigger-action IoT Attacks
- (2024) Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning
- (2024) Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey
- (2024) Reinforcement learning meets network intrusion detection: a transferable and adaptable framework for anomaly behavior identification
- (2024) Use of Graph Neural Networks in Aiding Defensive Cyber Operations
- (2024) LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward
- (2024) Squashing Resource Exhaustion Bugs with Black-box Fuzzing and Reinforcement Learning
- (2024) Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning
- (2023) Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
- (2023) CO-DECYBER: Co-operative Decision Making for Cybersecurity using Deep Multi-agent Reinforcement Learning
- (2023) Optimal Deception Asset Deployment in Cybersecurity: A Nash Q-Learning Approach in Multi-Agent Stochastic Games
- (2023) Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense with High Penetration of DERs
- (2023) WebGuardRL: An Innovative Reinforcement Learning-based Approach for Advanced Web Attack Detection
- (2023) PSP-Mal: Evading Malware Detection via Prioritized Experience-based Reinforcement Learning with Shapley Prior
- (2023) Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning
- (2023) Effective defense strategies in network security using improved double dueling deep Q-network
- (2023) Autonomous Cyber Defense Against Dynamic Multi-strategy Infrastructural DDoS Attacks
- (2023) Distributed Web Hacking by Adaptive Consensus-based Reinforcement Learning
- (2023) Reward Shaping for Happier Autonomous Cyber Security Agents
- (2023) MalBoT-DRL: Malware Botnet Detection using Deep Reinforcement Learning in IoT Networks
- (2023) Raiju: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems
- (2023) Security defense strategy algorithm for Internet of Things based on deep reinforcement learning
- (2023) Enhancing Exfiltration Path Analysis Using Reinforcement Learning
- (2023) Automated Penetration Testing with Fine-Grained Control through Deep Reinforcement Learning
- (2023) Security Awareness in Smart Homes and Internet of Things Networks through Swarm-Based Cybersecurity Penetration Testing
- (2023) A Soft Actor-Critic Reinforcement Learning Algorithm for Network Intrusion Detection
- (2023) Network Intrusion detectionsystem using reinforcement learning techniques
- (2023) PENTESTGPT: An LLM-empowered Automatic Penetration Testing Tool
- (2023) On Autonomous Agents in a Cyber Defence Environment
- (2023) EPPTA: Efficient Partially Observable Reinforcement Learning Agent for Penetration testing Applications
- (2023) How to Disturb Network Reconnaissance: A Moving Target Defense Approach based on Deep Reinforcement Learning
- (2023) Scalable Learning of Intrusion Responses through Recursive Decomposition
- (2023) Deep Reinforcement Learning for Intrusion Detection in Internet of Things: Best practices, lessons learnt, and open challenges.
- (2023) An Automated Intrusion Detection and Prevention Model for Enhanced Network Security and Threat Assessment
- (2023) Flipit Game Deception Strategy Selection Method Based on Deep Reinforcement Learning
- (2023) Intelligent Security Aware Routing: Using Model-Free Reinforcement Learning
- (2023) When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach
- (2023) Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments
- (2023) Deep Reinforcement Learning for Intelligent Penetration Testing Path Design
- (2023) Social Engineering Attack-Defense Strategies Based on Reinforcement Learning
- (2023) Real-Time Defensive Strategy Selection via Deep Reinforcement Learning
- (2023) CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
- (2023) Simulating all archetypes of SQL injection vulnerability exploitation using reinforcement learning agents
- (2023) Research on active defense decision-making method for cloud boundary networks based on reinforcement learning of intelligent agent
- (2023) Adversarial Deep Reinforcement Learning for Cyber Security in Software Defined Networks
- (2023) Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting Software
- (2023) EIReLaND: Evaluating and Interpreting Reinforcement-Learning-based Network Defenses
- (2023) SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning
- (2023) Whole Campaign Emulation with Reinforcement Learning for Cyber Test
- (2023) Neuroevolution for Autonomous Cyber Defense
- (2023) Reinforcement Learning-Based Attack Graph Analysis for Wastewater Treatment Plant
- (2023) QL vs. SARSA: Performance Evaluation for Intrusion Prevention Systems in Software-Defined IoT Networks
- (2023) TSGS: Two-stage security game solution based on deep reinforcement learning for Internet of Things
- (2023) Security-aware Resource Allocation Scheme Based on DRL in Cloud-Edge-Terminal Cooperative Vehicular Network
- (2023) Network Intrusion Detection System using Reinforcement learning
- (2023) Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents
- (2023) Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
- (2023) A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning
- (2023) Enhancing Situation Awareness in Beyond Visual Range Air Combat with Reinforcement Learning-based Decision Support
- (2023) A Reinforcement Learning Approach to Undetectable Attacks against Automatic Generation Control
- (2023) Digital Twins for Security Automation
- (2023) Inroads into Autonomous Network Defence using Explained Reinforcement Learning
- (2023) Automated Adversary-in-the-Loop Cyber-Physical Defense Planning
- (2023) RLAuth: A Risk-based Authentication System using Reinforcement Learning
- (2023) SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using Reinforcement Learning
- (2023) Dual Reinforcement Learning based Attack Path Prediction for 5G Industrial Cyber-Physical Systems
- (2023) Detecting State of Charge False Reporting Attacks via Reinforcement Learning Approach
- (2023) Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
- (2023) NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
- (2023) A Collaborative Stealthy DDoS Detection Method based on Reinforcement Learning at the Edge of the Internet of Things
- (2023) An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning
- (2023) Trojan Playground: A Reinforcement Learning Framework for Hardware Trojan Insertion and Detection
- (2023) Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning
- (2023) Evolved Prevention Strategies for 6G Networks through Stochastic Games and Reinforcement Learning
- (2023) Cyber Attack Detection Using Bellman Optimality Equation in Reinforcement Learning
- (2023) Greybox Penetration Testing on Cloud Access Control with IAM Modeling and Deep Reinforcement Learning
- (2023) A Multiagent CyberBattleSim for RL Cyber Operation Agents
- (2023) Reinforcement Learning Solution for Cyber-Physical Systems Security Against Replay Attacks
- (2023) AIRS: Explanation for Deep Reinforcement Learning based Security Applications
- (2023) SSQLi: A Black-Box Adversarial Attack Method for SQL Injection Based on Reinforcement Learning
- (2023) On the use of Reinforcement Learning for Attacking and Defending Load Frequency Control
- (2023) An Optimal Active Defensive Security Framework for the Container-Based Cloud with Deep Reinforcement Learning
- (2023) AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks
- (2023) Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation
- (2023) Offline RL+CKG: A hybrid AI model for cybersecurity tasks
- (2023) Learning automated defense strategies using graph-based cyber attack simulations
- (2023) Cyber Automated Network Resilience Defensive Approach against Malware Images
- (2023) Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach
- (2023) Cybersecurity as a Tic-Tac-Toe Game Using Autonomous Forwards (Attacking) And Backwards (Defending) Penetration Testing in a Cyber Adversarial Artificial Intelligence System
- (2023) Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties
- (2023) Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms
- (2023) Security Analysis of Cyber-Physical Systems Using Reinforcement Learning
- (2023) Beyond von Neumann Era: Brain-inspired Hyperdimensional Computing to the Rescue
- (2023) Increasing attacker engagement on SSH honeypots using semantic embeddings of cyber-attack patterns and deep reinforcement learning
- (2023) Towards Dynamic Capture-The-Flag Training Environments For Reinforcement Learning Offensive Security Agents
- (2023) Leveraging Deep Reinforcement Learning for Automating Penetration Testing in Reconnaissance and Exploitation Phase
- (2023) HAXSS: Hierarchical Reinforcement Learning for XSS Payload Generation
- (2023) A Transfer Double Deep Q Network Based DDoS Detection Method for Internet of Vehicles
- (2022) Deep Reinforcement Learning for FlipIt Security Game
- (2022) DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection
- (2022) A Model-Free Approach to Intrusion Response Systems
- (2022) Reinforcement Learning Agents for Simulating Normal and Malicious Actions in Cyber Range Scenarios
- (2022) Sequential Topology Attack of Supply Chain Networks Based on Reinforcement Learning
- (2022) Defend to Defeat: Limiting Information Leakage in Defending against Advanced Persistent Threats
- (2022) How to Attack and Defend NextG Radio Access Network Slicing with Reinforcement Learning
- (2022) Knowledge Guided Two-player Reinforcement Learning for Cyber Attacks and Defenses
- (2022) Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies
- (2022) Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning.
- (2022) Cascaded Reinforcement Learning Agents for Large Action Spaces in Autonomous Penetration Testing.
- (2022) Model-Free Deep Reinforcement Learning in Software-Defined Networks.
- (2022) Hierarchical reinforcement learning guidance with threat avoidance.
- (2022) Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain.
- (2022) Cognitive Models of Dynamic Decisions in Autonomous Intelligent Cyber Defense.
- (2022) Optimizing cybersecurity incident response decisions using deep reinforcement learning.
- (2022) Robust Moving Target Defense against Unknown Attacks: A Meta-Reinforcement Learning Approach
- (2022) Learning Games for Defending Advanced Persistent Threats in Cyber Systems
- (2022) IEEE P2668-Compliant Multi-Layer IoT-DDoS Defense System Using Deep Reinforcement Learning
- (2022) Privacy-Enhanced Intrusion Detection and Defense for Cyber-Physical Systems: A Deep Reinforcement Learning Approach
- (2022) DeepThrottle: Deep Reinforcement Learning for Router Throttling to Defend Against DDoS Attack in SDN
- (2022) Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach
- (2022) Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach
- (2022) Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection
- (2022) Adaptive threat mitigation in SDN using improved D3QN
- (2022) A Comprehensive Survey on Security Attacks to Edge Server of IoT Devices through Reinforcement Learning
- (2022) Smart Grid Worm Detection Based on Deep Reinforcement Learning
- (2022) Deep reinforcement learning based IRS-assisted mobile edge computing under physical-layer security
- (2022) Reinforcement Learning for Intrusion Detection: More Model Longness and Fewer Updates
- (2022) AutoDefense: Reinforcement Learning Based Autoreactive Defense Against Network Attacks
- (2022) ProAPT: Projection of APT Threats with Deep Reinforcement Learning
- (2022) Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds
- (2022) H4rm0ny: A Competitive Zero-Sum Two-Player Markov Game for Multi-Agent Learning on Evasive Malware Generation and Detection
- (2022) Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges
- (2022) Attrition: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning
- (2022) Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection
- (2022) ReCEIF: Reinforcement Learning-Controlled Effective Ingress Filtering
- (2022) AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks
- (2022) GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
- (2022) Reinforcement Learning based Adversarial Malware Example Generation Against Black-Box Detectors
- (2022) SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization
- (2022) How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach
- (2022) ReLFA: Resist Link Flooding Attacks via Renyi Entropy and Deep Reinforcement Learning in SDN-IoT
- (2022) An Artificial Intelligence-Enabled Framework for Optimizing the Dynamic Cyber Vulnerability Management Process
- (2022) Eavesdropping Game Based on Multi-Agent Deep Reinforcement Learning
- (2022) A Hidden Attack Sequences Detection Method Based on Dynamic Reward Deep Deterministic Policy Gradient
- (2022) Security State Estimation for Cyber-Physical Systems against DoS Attacks via Reinforcement Learning and Game Theory
- (2022) Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation
- (2022) Enabling intrusion detection systems with dueling double deep Q-learning
- (2022) MultiAgent Deep Reinforcement LearningDriven Mitigation of Adverse Effects of CyberAttacks on Electric Vehicle Charging Station
- (2022) XSS Adversarial Example Attacks Based on Deep Reinforcement Learning
- (2022) Analyzing Multi-Agent Reinforcement Learning and Coevolution in Cybersecurity
- (2022) AlphaSOC: Reinforcement Learning-based Cybersecurity Automation for Cyber-Physical Systems
- (2022) Online Cyber-Attack Detection in the Industrial Control System: A Deep Reinforcement Learning Approach
- (2022) Detecting Cyber Attacks: A Reinforcement Learning Based Intrusion Detection System
- (2022) Robust Enhancement of Intrusion Detection Systems using Deep Reinforcement Learning and Stochastic Game
- (2022) irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions
- (2022) Defensive deception framework against reconnaissance attacks in the cloud with deep reinforcement learning
- (2022) Captcha me if you can: Imitation Games with Reinforcement Learning
- (2022) Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT
- (2022) A generic scheme for cyber security in resource constraint network using incomplete information game
- (2022) A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs
- (2022) A flexible SDN-based framework for slow-rate DDoS attack mitigation by using deep reinforcement learning
- (2022) Learning Security Strategies through Game Play and Optimal Stopping
- (2022) Resilient Optimal Defensive Strategy of Micro-Grids System via Distributed Deep Reinforcement Learning Approach Against FDI Attack
- (2022) Data-driven Cyber-attack Detection of Intelligent Attacks in Islanded DC Microgrids
- (2022) Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning
- (2022) Cyber threat response using reinforcement learning in graph-based attack simulations
- (2022) Intrusion Prevention through Optimal Stopping
- (2022) Learning to Play an Adaptive Cyber Deception Game
- (2022) Neural Fictitious Self-Play for Radar Anti-Jamming Dynamic Game with Imperfect Information
- (2022) A Reinforcement Learning Approach for Defending Against Multi-Scenario Load Redistribution Attacks
- (2022) A Proactive Eavesdropping Game in MIMO systems Based on Multi-Agent Deep Reinforcement Learning
- (2022) FEAR: Federated Cyber-Attack Reaction in Distributed Software-Defined Networks with Deep Q-Network
- (2022) EvadeRL: Evading PDF Malware Classifiers with Deep Reinforcement Learning
- (2022) Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning
- (2022) MERLIN - Malware Evasion with Reinforcement LearnINg
- (2022) DeepAir: Deep Reinforcement Learning for Adaptive Intrusion Response in Software-Defined Networks
- (2022) DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection
- (2022) MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
- (2022) Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach
- (2022) Safe Exploration in Wireless Security: A Safe Reinforcement Learning Algorithm with Hierarchical Structure
- (2022) Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs
- (2022) Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems against DoS Attacks
- (2021) Network defense decision-making based on a stochastic game system and a deep recurrent Q-network
- (2021) Discovering reflected cross-site scripting vulnerabilities using a multiobjective reinforcement learning environment
- (2021) Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning
- (2021) Automating post-exploitation with deep reinforcement learning
- (2021) Moving Target Defense as a Proactive Defense Element for Beyond 5G
- (2021) Network Resilience Under Epidemic Attacks: Deep Reinforcement Learning Network Topology Adaptations
- (2021) An Intrusion Response Approach for Elastic Applications Based on Reinforcement Learning
- (2021) Reinforcement Learning-assisted Threshold Optimization for Dynamic Honeypot Adaptation to Enhance IoBT Networks Security
- (2021) Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing
- (2021) SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
- (2021) Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System
- (2021) Timing Strategy for Active Detection of APT Attack Based on FlipIt Model and Q-learning Method
- (2021) Collaborative Multi-agent Reinforcement Learning for Intrusion Detection
- (2021) ATMoS+: Generalizable Threat Mitigation in SDN Using Permutation Equivariant and Invariant Deep Reinforcement Learning
- (2021) Network Security Defense Decision-Making Method Based on Stochastic Game and Deep Reinforcement Learning
- (2021) Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
- (2021) An Efficient Parallel Reinforcement Learning Approach to Cross-Layer Defense Mechanism in Industrial Control Systems
- (2021) SDN-based Moving Target Defense using Multi-agent Reinforcement Learning
- (2021) Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
- (2021) Automating Privilege Escalation with Deep Reinforcement Learning
- (2021) Multi-Agent Reinforcement Learning Framework in SDN-IoT for Transient Load Detection and Prevention
- (2021) Crown Jewels Analysis using Reinforcement Learning with Attack Graphs
- (2021) Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
- (2021) Deep-Reinforcement-Learning-Based Intrusion Detection in Aerial Computing Networks
- (2021) Deep Reinforcement Learning for Securing Software Defined Industrial Networks with Distributed Control Plane
- (2021) Autonomous network cyber offence strategy through deep reinforcement learning
- (2021) CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
- (2021) Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense
- (2021) Curious SDN for network attack mitigation
- (2021) Catch Me If You Learn: Real-Time Attack Detection and Mitigation in Learning Enabled CPS
- (2021) SyzVegas: Beating Kernel Fuzzing Odds with Reinforcement Learning
- (2021) Network Environment Design for Autonomous Cyberdefense
- (2021) CybORG: A Gym for the Development of Autonomous Cyber Agents
- (2021) SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure
- (2021) Towards Autonomous Defense of SDN Networks Using MuZero Based Intelligent Agent
- (2021) Defense Against Advanced Persistent Threats in Smart Grids: A Reinforcement Learning Approach
- (2021) Deep hierarchical reinforcement agents for automated penetration testing
- (2021) Adversarial Attack and Defense on Graph-based IoT Botnet Detection Approach
- (2021) Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms
- (2021) Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks
- (2021) Mixed Initiative Balance of Human-Swarm Teaming in Surveillance via Reinforcement learning
- (2021) Proximal Policy Based Deep Reinforcement Learning Approach for Swarm Robots
- (2021) Using Deep Reinforcement Learning to Evade Web Application Firewalls
- (2021) Sequential Node Attack of Complex Networks based on Q-learning Method
- (2021) Learning Intrusion Prevention Policies through Optimal Stopping
- (2021) Using Cyber Terrain in Reinforcement Learning for Penetration Testing
- (2021) Reinforcement learning based self-adaptive moving target defense against DDoS attacks
- (2021) Modeling, Detecting, and Mitigating Threats Against Industrial Healthcare Systems: A Combined Software Defined Networking and Reinforcement Learning Approach
- (2021) Lightweight IDS For UAV Networks: A Periodic Deep Reinforcement Learning-based Approach
- (2021) DESOLATER: Deep Reinforcement Learning-Based Resource Allocation and Moving Target Defense Deployment Framework
- (2021) RAIDER: Reinforcement-aided Spear Phishing Detector
- (2021) DDoS Mitigation Based on Space-Time Flow Regularities in IoV: A Feature Adaption Reinforcement Learning Approach
- (2021) Power system structure optimization based on reinforcement learning and sparse constraints under DoS attacks in cloud environments
- (2021) Network Abnormal Traffic Detection Model Based on Semi-Supervised Deep Reinforcement Learning
- (2021) An adaptive honeypot using Q-Learning with severity analyzer
- (2021) Game-Theoretic Actor–Critic-Based Intrusion Response Scheme (GTAC-IRS) for Wireless SDN-Based IoT Networks
- (2021) A Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Detecting Advanced Persistent Threats
- (2021) Deep Reinforcement Learning for Backup Strategies against Adversaries
- (2021) A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks
- (2020) Learning and Planning in the Feature Deception Problem
- (2020) Machine Learning Cyberattack and Defense Strategies
- (2020) Reinforcement Learning for Attack Mitigation in SDN-enabled Networks
- (2020) Per-Host DDoS Mitigation by Direct-Control Reinforcement Learning
- (2020) Game Theory and Reinforcement Learning Based Secure Edge Caching in Mobile Social Networks
- (2020) A New Black Box Attack Generating Adversarial Examples Based on Reinforcement Learning
- (2020) Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks
- (2020) Deep Reinforcement Learning for Adaptive Cyber Defense and Attacker’s Pattern Identification
- (2020) Reinforcement Learning Based Approach for Flip Attack Detection
- (2020) Reinforcement Learning in FlipIt
- (2020) CPSS LR-DDoS Detection and Defense in Edge Computing Utilizing DCNN Q-Learning
- (2020) Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
- (2020) An Intelligent Deployment Policy for Deception Resources Based on Reinforcement Learning
- (2020) Defense Against Advanced Persistent Threats: Optimal Network Security Hardening Using Multi-stage Maze Network Game
- (2020) Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning
- (2020) DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
- (2020) Q-Bully: A Reinforcement Learning based Cyberbullying Detection Framework
- (2020) Application-Layer DDoS Defense with Reinforcement Learning
- (2020) DQ-MOTAG: Deep Reinforcement Learning-based Moving Target Defense Against DDoS Attacks
- (2020) A Hybrid Game Theory and Reinforcement Learning Approach for Cyber-Physical Systems Security
- (2020) Machine Learning Cyberattack and Defense Strategies
- (2020) Automated Post-Breach Penetration Testing through Reinforcement Learning
- (2020) DeepBLOC: A Framework for Securing CPS through Deep Reinforcement Learning on Stochastic Games
- (2020) Deep Reinforcement Learning for DER Cyber-Attack Mitigation
- (2020) Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP
- (2020) Using Knowledge Graphs and Reinforcement Learning for Malware Analysis
- (2020) Autonomous Security Analysis and Penetration Testing
- (2020) POMDP + Information-Decay: Incorporating Defender's Behaviour in Autonomous Penetration Testing
- (2020) ATMoS: Autonomous Threat Mitigation in SDN using Reinforcement Learning
- (2020) Modeling Penetration Testing with Reinforcement Learning Using Capture-the-Flag Challenges: Trade-offs between Model-free Learning and A Priori Knowledge
- (2020) Finding Effective Security Strategies through Reinforcement Learning and Self-Play
- (2020) AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET
- (2020) Reinforcement Learning for Efficient Network Penetration Testing
- (2020) The Agent Web Model -- Modelling web hacking for reinforcement learning
- (2020) Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
- (2020) Reinforcement Learning Based PHY Authentication for VANETs
- (2020) Deep Reinforcement Learning for Cybersecurity Assessment of Wind Integrated Power Systems
- (2020) Smart Security Audit: Reinforcement Learning with a Deep Neural Network Approximator
- (2020) Quickest Detection of Advanced Persistent Threats: A Semi-Markov Game Approach
- (2020) Distributed Reinforcement Learning for Cyber-Physical System With Multiple Remote State Estimation Under DoS Attacker
- (2020) Secure Crowdsensing in 5G Internet of Vehicles: When Deep Reinforcement Learning Meets Blockchain
- (2020) Deep Reinforcement Learning based Intrusion Detection System for Cloud Infrastructure
- (2020) Application of deep reinforcement learning to intrusion detection for supervised problems
- (2019) A game-theoretic method based on Q-learning to invalidate criminal smart contracts
- (2019) A Performance Evaluation of Deep Reinforcement Learning for Model-Based Intrusion Response
- (2019) Deep Q-Learning and Particle Swarm Optimization for Bot Detection in Online Social Networks
- (2019) Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
- (2019) Evaluation of Reinforcement Learning-Based False Data Injection Attack to Automatic Voltage Control
- (2019) Study of Learning of Power Grid Defense Strategy in Adversarial Stage Game
- (2019) Learning to Cope with Adversarial Attacks
- (2019) Learning Distributed Cooperative Policies for Security Games via Deep Reinforcement Learning
- (2019) An Efficient Reinforcement Learning-Based Botnet Detection approach
- (2019) Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense
- (2019) QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game
- (2019) Solving Cyber Alert Allocation Markov Games with Deep Reinforcement Learning
- (2019) Adaptive Honeypot Engagement Through Reinforcement Learning of Semi-Markov Decision Processes
- (2019) Detecting Phishing Websites through Deep Reinforcement Learning
- (2019) Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense
- (2019) Autonomous Penetration Testing using Reinforcement Learning
- (2019) A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
- (2019) Automating Penetration Testing using Reinforcement Learning
- (2019) Reinforcement Learning-Based DoS Mitigation in Software Defined Networks
- (2019) Adversarial attack and defense in reinforcement learning-from AI security view
- (2019) A Learning-Based Solution for an Adversarial Repeated Game in Cyber–Physical Power Systems
- (2019) Reinforcement Learning for Cyber-Physical Security Assessment of Power Systems
- (2019) Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection
- (2019) Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning
- (2019) Deep Reinforcement Learning for Partially Observable Data Poisoning Attack in Crowdsensing Systems
- (2019) Adaptive Alert Management for Balancing Optimal Performance among Distributed CSOCs using Reinforcement Learning
- (2018) Simulating SQL Injection Vulnerability Exploitation Using Q-Learning Reinforcement Learning Agents
- (2018) Security in Mobile Edge Caching with Reinforcement Learning
- (2018) Detection of online phishing email using dynamic evolving neural network based on reinforcement learning
- (2018) A reinforcement learning approach for attack graph analysis
- (2018) Reinforcement Learning for Autonomous Defence in Software-Defined Networking
- (2018) Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
- (2018) Autonomic Computer Network Defence Using Risk State and Reinforcement Learning
- (2018) Reinforcement Learning for Intelligent Penetration Testing
- (2018) Autonomous Intelligent Cyber-defense Agent (AICA) Reference Architecture
- (2018) Deep reinforecement learning based optimal defense for cyber-physical system in presence of unknown cyber-attack
- (2018) Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks
- (2018) Machine learning for autonomous cyber defense
- (2018) Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
- (2018) Deep Reinforcement Learning based Smart Mitigation of DDoS Flooding in Software-Defined Networks
- (2018) Off-Policy Q-learning Technique for Intrusion Response in Network Security
- (2018) UAV Relay in VANETs Against Smart Jamming With Reinforcement Learning
- (2018) A Game-Theoretical Approach to Cyber-Security of Critical Infrastructures Based on Multi-Agent Reinforcement Learning
- (2018) Security in Mobile Edge Caching with Reinforcement Learning
- (2018) Robotics CTF (RCTF), a playground for robot hacking
- (2018) NIDSRL: Network Based Intrusion Detection System Using Reinforcement Learning
- (2018) An IRL Approach for Cyber-Physical Attack Intention Prediction and Recovery
- (2018) QRASSH - A Self-Adaptive SSH Honeypot Driven by Q-Learning
- (2018) Using Reinforcement Learning to Conceal Honeypot Functionality
- (2018) Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware
- (2018) Enhancing Machine Learning Based Malware Detection Model by Reinforcement Learning
- (2017) Network Defense Strategy Selection with Reinforcement Learning and Pareto Optimization
- (2017) Adversarial Reinforcement Learning in a Cyber Security Simulation
- (2017) Detecting Stealthy Botnets in a Resource-Constrained Environment using Reinforcement Learning
- (2017) Q-learning Based Vulnerability Analysis of Smart Grid against Sequential Topology Attacks
- (2017) Multi-agent Reinforcement Learning Based Cognitive Anti-jamming
- (2017) Reinforcement Learning Based Mobile Offloading for Cloud-Based Malware Detection
- (2017) A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning
- (2017) Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs
- (2016) Markov Security Games: Learning in Spatial Security Problems
- (2016) Dynamic Scheduling of Cybersecurity Analysts for Minimizing Risk Using Reinforcement Learning
- (2016) Balancing Security and Performance for Agility in Dynamic Threat Environments
- (2016) Reinforcement Learning Based Anti-jamming with Wideband Autonomous Cognitive Radios
- (2016) PHY-Layer Spoofing Detection With Reinforcement Learning in Wireless Networks
- (2015) Application of reinforcement learning for security enhancement incognitive radio networks
- (2015) Power control with reinforcement learning in cooperative cognitive radio networks against jamming
- (2015) Game Theory with Learning for Cyber Security Monitoring
- (2015) Spoofing Detection with Reinforcement Learning in Wireless Networks
- (2015) Mobile Cloud Offloading for Malware Detections with Learning
- (2014) Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed
- (2014) Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks
- (2014) Q-Learning: From Computer Network Security to Software Security
- (2013) Multiagent Router Throttling: Decentralized Coordinated Response Against DDoS Attacks
- (2013) Hybrid Learning in Stochastic Games and Its Application in Network Security
- (2013) Competing Mobile Network Game: Embracing Antijamming and Jamming Strategies with Reinforcement Learning
- (2012) Intrusion Detection System using Log Files and Reinforcement Learning
- (2012) Anti-jamming in Cognitive Radio Networks Using Reinforcement Learning Algorithms
- (2011) An Anti-jamming Strategy for Channel Access in Cognitive Radio Networks
- (2011) Distributed strategic learning with application to network security
- (2010) Dynamic policy-based IDS configuration
- (2008) Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
- (2007) Defending DDoS Attacks Using Hidden Markov Models and Cooperative Reinforcement Learning
- (2006) An intrusion detection game with limited observations
- (2005) A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls
- (2005) Multi-agent reinforcement learning for intrusion detection
- (2000) Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks
- (2023) Detecting Complex Cyber Attacks Using Decoys with Online Reinforcement Learning
- (2022) Anomaly Detection in Competitive Multiplayer Games
- (2022) Secure Automated and Autonomous Systems
- (2014) Distributed Reinforcement Learning for Network Intrusion Response
- (2009) Multi-Agent Reinforcement Learning for Intrusion Detection
- (2024) Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
- (2023) RESONANT: Reinforcement Learning-based Moving Target Defense for Credit Card Fraud Detection
- (2023) Competitive Reinforcement Learning for Autonomous Cyber Operations
- (2023) Learning Cyber Defence Tactics from Scratch with Cooperative Multi-Agent Reinforcement Learning
- (2022) Automating exploitation of SQL injection with reinforcement learning
- (2022) Self-Play Reinforcement Learning for Finding Intrusion Prevention Strategies
- (2022) Reinforcement Learning-aided Dynamic Analysis of Evasive Malware
- (2021) Intrusion Detection Based on Reinforcement Learning
- (2021) Bayesian Reinforcement Learning Methods for Network Intrusion Prevention
- (2019) Learning to Hack
- (2018) Autonomous Penetration Testing using Reinforcement Learning
- (2018) Analysis of Network Intrusion Detection System with Machine Learning Algorithms (Deep Reinforcement Learning Algorithm)
- (2022) Simulating Network Lateral Movements through the CyberBattleSim Web Platform
- (2018) Autonomous Penetration Testing using Reinforcement Learning
- (2023) Poster: Defending the unknown: Exploring reinforcement learning agents’ deployment in realistic, unseen networks
- (2023) Poster: Generating Experiences for Autonomous Network Defense
- (2023) Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
- (2022) Autonomous Network Defence using Reinforcement Learning
- (2022) Intrusion Prevention through Optimal Stopping
- (2022) Intrusion Prevention through Optimal Stopping
- (2021) Learning Intrusion Prevention Policies through Optimal Stopping
- (2021) RELACCS: Reinforcement Learning for Cybersecurity
- (2021) Game Theory and Machine Learning for Cyber Security (Chapter 5 on RL)
- (2019) Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies
- (2010) Network Security: A Decision and Game-Theoretic Approach
- (2024) How can reinforcement learning help protect against cyber attacks?
- (2023) Beyond GenAI: The Rise of Autonomous Cyber-Defense Agents
- (2021) Gamifying machine learning for stronger security and AI models
- (2021) Automating Cyber-Security With Reinforcement Learning
- (2021) Towards a method for computing effective intrusion prevention policies using reinforcement learning
- (2024) Attacking Reinforcement Learning via Adversarial Policies – by Wong Wai Tuck
- (2024) CYBRAL: Leveraging Advanced AI for Automated Cybersecurity
- (2024) From Cyber Situational Awareness to Adaptive Cyber Defense
- (2024) Operational Cybersecurity of DERs Using Optimization, Control Theory, and Machine Learning
- (2024) Automated Security Response through Online Learning with Adaptive Conjectures
- (2024) CSLE v0.5
- (2024) Machine Learning for Cyber Defense: From Network Security and Endpoint Security Perspectives
- (2023) Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
- (2023) Learning Automated Intrusion Response
- (2023) CSLE v0.2
- (2023) Uplifting Cyber Defense
- (2023) Learning Near-Optimal Intrusion Response for Large-Scale IT Infrastructures via Decomposition
- (2023) Reinforcement Learning for Autonomous Cyber Defense
- (2023) Digital Twins and Reinforcement Learning for Security Automation
- (2023) Automation of digital crime investigation using Reinforcement Learning (RL)
- (2023) Applying Multi-Agent Reinforcement Learning (MARL) in a Cyber Wargame Engine
- (2023) Intrusion Response through Optimal Stopping
- (2022) Inroads in Autonomous Network Defence using Explained Reinforcement Learning (CAMLIS 2022)
- (2022) The Journey to The Self-Driving SOC
- (2022) Applications of Deep Reinforcement Learning for Cyber Security
- (2022) CNSM 2022, Adapting Security Policies in Dynamic IT Environments - Hammar & Stadler
- (2022) Self-Learning Systems for Cyber Defense
- (2022) Poster: Study of Intelligent Cyber Range Simulation using Reinforcement Learning
- (2022) Paper Study - Survey of Reinforcement Learning for Cyber Security
- (2022) The Role of Artificial Intelligence in Cyber-Defence | AI & Cybersecurity | Vincent Lenders
- (2022) Learning Security Strategies through Game Play and Optimal Stopping - Hammar & Stadler
- (2022) Reinforcement Learning for Complex Security Games and Beyond
- (2022) NOMS22 Demo - A System for Interactive Examination of Learned Security Policies - Hammar & Stadler
- (2022) Reinforcement Learning Applications: Cyber Security
- (2021) Artificial Intelligence Applications to Cybersecurity (AI ATAC) Prize Challenges I&II - prize-challenges-iandii)
- (2021) NordSec 2021 - SQL Injections and Reinforcement Learning
- (2021) Deep hierarchical reinforcement agents for automated penetration testing
- (2021) USENIX Security '21 - SyzVegas: Beating Kernel Fuzzing Odds with Reinforcement Learning
- (2021) CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
- (2021) Simulating a Logistics Enterprise Using an Asymmetrical Wargame Simulation with Soar Reinforcement Learning and Coevolutionary Algorithms
- (2021) Incorporating Deception into CyberBattleSim for Autonomous Defense
- (2021) CybORG: A Gym for the Development of Autonomous Cyber Agents
- (2021) Defending the Cyber Front with AI - CyCon 2021
- (2021) Informing Autonomous Deception Systems with Cyber Expert Performance Data
- (2021) ACD 2021 Keynote - Prof. George Cybenko - Attrition in Adaptive Cyber Defense
- (2021) Reinforcement learning approaches on intusion detection
- (2021) Applying Deep Reinforcement Learning (DRL) in a Cyber Wargaming Engine
- (2021) Automated Penetration Testing using Reinforcement Learning
- (2021) Training an Autonomous Pentester with Deep RL
- (2021) Learning Intrusion Prevention Policies Through Optimal Stopping
- (2020) Finding Effective Security Strategies through Reinforcement Learning and Self-Play
- (2020) Autonomous Security Analysis and Penetration Testing (ASAP) - Ankur Chowdhary
- (2020) Autonomous Security Analysis and Penetration Testing: A reinforcement learning approach.
- (2020) Artificial Intelligence based Autonomous Penetration Testing.
- (2019) Cost-Efficient Malware Detection Using Deep Reinforcement Learning
- (2019) Trying to Make Meterpreter into an Adversarial Example
- (2019) A Reinforcement Learning Framework for Smart, Secure, and Efficient Cyber-Physical Autonomy
- (2019) Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes
- (2018) Autonomous Cyber Defense: AI and the Immune System Approach
- (2018) Bonware to the Rescue: the Future Autonomous Cyber Defense Agents | Dr Alexander Kott | CAMLIS 2018
- (2018) CSIAC Webinar - Learning to Win: Making the Case for Autonomous Cyber Security Solutions
- (2024) Special Interest Group for AI and Machine Learning in Security -- IEEE COMSOC
- (2024) GameSec '24: 15th Conference on Decision and Game Theory for Security (GameSec-24)
- (2024) Autonomous Resilient Cyber Defence (ARCD)
- (2023) Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2023)
- (2023) Proceedings of the 2nd Workshop on Adaptive Cyber Defense
- (2023) GameSec '23: 14th Conference on Decision and Game Theory for Security (GameSec-23) - 3-031-50670-3)
- (2023) AISec '23: 16th ACM Workshop on Artificial Intelligence and Security
- (2022) Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2022)
- (2022) AI for Cyber Defence Mailing List
- (2022) AI for Cyber Defence (AICD) research centre - Alan Turing Institute
- (2022) DARPA's CASTLE: Cyber Agents for Security Testing and Learning Environments using Reinforcement Learning
- (2022) AISec '22: 15th ACM Workshop on Artificial Intelligence and Security
- (2022) ICML Workshop on Machine Learning for Cybersecurity
- (2022) AAAI Workshop on Artificial Intelligence for Cyber Security (AICS)
- (2022) ECMLPKDD Workshop on Machine Learning for Cybersecurity(MLCS)
- (2021) IJCAI First International Workshop on Adaptive Cyber Defense
- (2021) ICONIP Workshop on Artificial Intelligence for Cyber Security (AICS)
- (2021) ECMLPKDD Workshop on Machine Learning for Cybersecurity (MLCS)
- (2021) Self-Learning AI
- (2021) AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021
- (2020) ECMLPKDD Workshop on Machine Learning for Cybersecurity(MLCS)
- (2020) Self-Learning Systems for Cyber Defense
- (2020) Workshop on Artificial Intelligence for Cyber Security (AICS)
- (2019) ECMLPKDD Workshop on Machine Learning for Cybersecurity (MLCS)
- (2019) Workshop on Artificial Intelligence for Cyber Security (AICS)