https://github.com/shawn-shan/fawkes

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

adversarial-machine-learning face-recognition privacy-enhancing-technologies privacy-protection

Last synced: 14 May 2025

https://github.com/Shawn-Shan/fawkes

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

adversarial-machine-learning face-recognition privacy-enhancing-technologies privacy-protection

Last synced: 28 Mar 2025

https://github.com/trusted-ai/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarial-attacks adversarial-examples adversarial-machine-learning ai artificial-intelligence attack blue-team evasion extraction inference machine-learning poisoning privacy python red-team trusted-ai trustworthy-ai

Last synced: 13 May 2025

https://github.com/Trusted-AI/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarial-attacks adversarial-examples adversarial-machine-learning ai artificial-intelligence attack blue-team evasion extraction inference machine-learning poisoning privacy python red-team trusted-ai trustworthy-ai

Last synced: 23 Mar 2025

https://github.com/qdata/textattack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

adversarial-attacks adversarial-examples adversarial-machine-learning data-augmentation machine-learning natural-language-processing nlp security

Last synced: 17 Apr 2026

https://github.com/QData/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

adversarial-attacks adversarial-examples adversarial-machine-learning data-augmentation machine-learning natural-language-processing nlp security

Last synced: 02 Apr 2025

https://protectai.github.io/llm-guard/

The Security Toolkit for LLM Interactions

adversarial-machine-learning chatgpt large-language-models llm llm-security llmops prompt-engineering prompt-injection security-tools transformers

Last synced: 09 Dec 2025

https://github.com/protectai/llm-guard

The Security Toolkit for LLM Interactions

adversarial-machine-learning chatgpt large-language-models llm llm-security llmops prompt-engineering prompt-injection security-tools transformers

Last synced: 13 May 2025

https://github.com/borealisai/advertorch

A Toolbox for Adversarial Robustness Research

adversarial-attacks adversarial-example adversarial-examples adversarial-learning adversarial-machine-learning adversarial-perturbations benchmarking machine-learning pytorch robustness security toolbox

Last synced: 15 May 2025

https://github.com/BorealisAI/advertorch

A Toolbox for Adversarial Robustness Research

adversarial-attacks adversarial-example adversarial-examples adversarial-learning adversarial-machine-learning adversarial-perturbations benchmarking machine-learning pytorch robustness security toolbox

Last synced: 27 Mar 2025

https://github.com/jiep/offensive-ai-compilation

A curated list of useful resources that cover Offensive AI.

adversarial-machine-learning ai-security artificial-intelligence compilation offensive-ai

Last synced: 25 Jan 2026

https://github.com/RobustBench/robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

adversarial-machine-learning adversarial-robustness benchmark model-zoo

Last synced: 27 Mar 2025

https://github.com/akanimax/T2F

T2F: text to face generation using Deep Learning

adversarial-machine-learning gan generative-adversarial-network progressively-growing-gan text-to-image

Last synced: 09 Jul 2025

https://github.com/akanimax/pro_gan_pytorch

Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"

adversarial-machine-learning convolutional-neural-network gan progressive-growing-of-gans pytorch

Last synced: 07 May 2025

https://github.com/thu-ml/ares

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

adversarial-attacks adversarial-machine-learning adversarial-robustness benchmark-framework bim boundary deepfool distillation evolutionary fgsm hgd mi-fgsm mmlda nes pca spsa

Last synced: 04 Apr 2025

https://github.com/edisonleeeee/graphgallery

GraphGallery is a gallery for benchmarking Graph Neural Networks

adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch

Last synced: 12 Apr 2025

https://github.com/EdisonLeeeee/GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch

Last synced: 01 May 2025

https://github.com/Koukyosyumei/AIJack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

adversarial-attacks adversarial-examples adversarial-machine-learning dbms deep-learning differential-privacy evasion-attack federated-learning homomorphic-encryption k-anonymity machine-learning membership-inference model-inversion-attacks paillier paillier-cryptosystem poisoning-attacks privacy security

Last synced: 14 Jun 2025

https://github.com/locuslab/smoothing

Provable adversarial robustness at ImageNet scale

adversarial-machine-learning

Last synced: 07 Apr 2025

https://github.com/deadbits/vigil-llm

⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs

adversarial-attacks adversarial-machine-learning large-language-models llm-security llmops prompt-injection security-tools yara-scanner

Last synced: 06 Apr 2025

https://github.com/koukyosyumei/aijack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

adversarial-attacks adversarial-examples adversarial-machine-learning dbms deep-learning differential-privacy evasion-attack federated-learning homomorphic-encryption k-anonymity machine-learning membership-inference model-inversion-attacks paillier paillier-cryptosystem poisoning-attacks privacy security

Last synced: 04 Apr 2025

https://github.com/Verified-Intelligence/auto_LiRPA

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

adversarial-defense adversarial-examples adversarial-machine-learning certified-defense-models crown-bound ibp-bounds robustness robustness-verification

Last synced: 21 May 2026

https://github.com/hbaniecki/adversarial-explainable-ai

💡 Adversarial attacks on explanations and how to defend them

adversarial adversarial-attacks adversarial-examples adversarial-machine-learning attacks counterfactual deep defense evaluation explainability explainable-ai iml interpretability interpretable interpretable-machine-learning model responsible-ai robustness security xai

Last synced: 27 Jan 2026

https://github.com/pralab/secml_malware

Create adversarial attacks against machine learning Windows malware detectors

adversarial-machine-learning attack infosec machine-learning python security

Last synced: 14 Jan 2026

https://github.com/hadisalman/smoothing-adversarial

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

adversarial-defense adversarial-machine-learning deep-neural-networks

Last synced: 12 Mar 2026

https://github.com/pralab/secml

A Python library for Secure and Explainable Machine Learning

adversarial-machine-learning algorithms artificial-intelligence attack-algorithms cleverhans evasion-attacks explainable-machine-learning foolbox interpretability machine-learning matplotlib neural-networks poisoning-attacks python python-library pytorch secml security sparse-data tensorflow

Last synced: 23 Jan 2026

https://github.com/milaan9/deep_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

adversarial-machine-learning autoencoders cnn-classification data-science deep-learning deep-learning-matlab deep-learning-python deep-learning-pytorch image-captioning image-processing linear-regression logistic-regression neural-networks object-detection rnn-pytorch tutor-milaan9

Last synced: 25 Sep 2025

https://github.com/AvalZ/WAF-A-MoLE

A guided mutation-based fuzzer for ML-based Web Application Firewalls

adversarial-machine-learning machine-learning web web-application-firewall web-security

Last synced: 12 Jul 2025

https://github.com/brysef/rfml

Radio Frequency Machine Learning with PyTorch

adversarial-machine-learning cognitive-radio deep-learning pytorch pytorch-tutorial signal-classification wireless-communication

Last synced: 14 May 2026

https://github.com/spring-epfl/mia

A library for running membership inference attacks against ML models

adversarial-machine-learning machine-learning privacy

Last synced: 20 Apr 2025

https://github.com/ZhengyuZhao/AI-Security-and-Privacy-Events

A curated list of academic events on AI Security & Privacy

adversarial-examples adversarial-machine-learning ai-privacy ai-security data-poisoning

Last synced: 27 Mar 2025

https://github.com/alexdevassy/Machine_Learning_CTF_Challenges

CTF challenges designed and implemented in machine learning applications

adversarial-machine-learning ai aisecurity ctf large-language-models machine-learning machine-learning-security offensive-security penetration-testing vulnerable-llm-application

Last synced: 17 Apr 2025

https://github.com/ZenGuard-AI/fast-llm-security-guardrails

The fastest && easiest LLM security guardrails for AI Agents and applications.

adversarial-machine-learning llm-guard llm-guardrails llm-privacy llm-security prompt-security security

Last synced: 11 Sep 2025

https://github.com/jxwuyi/atnre

Adversarial Training for Neural Relation Extraction

adversarial-machine-learning nlp-machine-learning relation-extraction tensorflow-experiments

Last synced: 02 May 2025

https://github.com/safellama/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 18 Apr 2025

https://github.com/EzgiKorkmaz/adversarial-reinforcement-learning

Reading list for adversarial perspective and robustness in deep reinforcement learning.

adversarial-machine-learning adversarial-policies adversarial-reinforcement-learning ai-alignment ai-safety artificial-intelligence-alignment deep-reinforcement-learning explainable-machine-learning machine-learning-safety meta-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning-alignment reinforcement-learning-safety responsible-ai robust-deep-reinforcement-learning robust-machine-learning robust-reinforcement-learning safe-reinforcement-learning safe-rlhf

Last synced: 26 Mar 2025

https://github.com/bogdan-kulynych/textfool

Plausible looking adversarial examples for text classification

adversarial-machine-learning adversarial-samples deep-learning machine-learning

Last synced: 30 Dec 2025

https://github.com/trojai/trojai

A repository to quickly generate synthetic data and associated trojaned deep learning models

adversarial-machine-learning deep-learning deep-neural-networks deep-reinforcement-learning poisoning-attack

Last synced: 26 Oct 2025

https://github.com/poloclub/jpeg-defense

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

adversarial-machine-learning attack carlini-wagner deep-learning deepfool defense dnn fgsm georgia-tech i-fgsm imagenet-dataset intel jpeg-compression paper security shield tensorflow vaccination video-demo

Last synced: 24 Jan 2026

https://github.com/392781/faceoff

Steps towards physical adversarial attacks on facial recognition

adversarial-attacks adversarial-machine-learning facenet-pytorch facial-recognition physical-adversarial-attacks

Last synced: 17 Mar 2025

https://github.com/moohax/Proof-Pudding

Copy cat model for Proofpoint

adversarial-attacks adversarial-machine-learning offensive-machine-learning proofpoint

Last synced: 30 Apr 2025

https://github.com/advboxes/perceptron-benchmark

Robustness benchmark for DNN models.

adversarial-machine-learning benchmarking security

Last synced: 04 Apr 2025

https://github.com/prabhant/synthesizing-robust-adversarial-examples

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

adversarial-example adversarial-machine-learning machine-learning reproducibility

Last synced: 15 Apr 2025

https://github.com/Wuziyi616/IF-Defense

This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

3d-attack 3d-reconstruction adversarial-machine-learning deep-learning defense dgcnn implicit-representions point-cloud pointconv pointnet pointnet2 pytorch rs-cnn

Last synced: 21 Nov 2025

https://github.com/SamSamhuns/yolov5_adversarial

Generate adversarial patches against YOLOv5 🚀

adversarial-attacks adversarial-machine-learning object-detection

Last synced: 21 Apr 2025

https://github.com/spring-epfl/trickster

Library and experiments for attacking machine learning in discrete domains

adversarial-machine-learning graph-algorithms machine-learning

Last synced: 20 Apr 2025

https://github.com/hmdolatabadi/AdvFlow

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

adversarial-machine-learning black-box-attacks neurips-2020 normalizing-flows

Last synced: 11 May 2025

https://github.com/adriacabeza/human-extractor

:bust_in_silhouette: Cutting people out automatically using Image translation's architecture Pix2Pix

adversarial-machine-learning computer-vision gan google-colab pix2pix pix2pix-tensorflow python retodotcsv2080super tensorflow tensorflow-2

Last synced: 06 Sep 2025

https://github.com/adriacabeza/Human-Extractor

:bust_in_silhouette: Cutting people out automatically using Image translation's architecture Pix2Pix

adversarial-machine-learning computer-vision gan google-colab pix2pix pix2pix-tensorflow python retodotcsv2080super tensorflow tensorflow-2

Last synced: 14 Mar 2025

https://github.com/zrapha/fame

Framework for Adversarial Malware Evaluation.

adversarial-attacks adversarial-examples adversarial-machine-learning evasion genetic-programming machine-learning malware reinforcement-learning trustworthy-ai trustworthy-machine-learning

Last synced: 11 Sep 2025

https://github.com/paulescu/adversarial-machine-learning

Hands-on tutorial on adversarial examples 😈. With Streamlit app ❤️.

adversarial-attacks adversarial-machine-learning python

Last synced: 11 Mar 2026

https://github.com/Benjamin-KY/MLSecOps

This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.

adversarial-machine-learning ai ai-assurance artificial-intelligence cyber-security mlops mlsecops

Last synced: 18 Jan 2026

https://github.com/yizhe-ang/detectron2-1

Implements Adversarial Examples for Semantic Segmentation and Object Detection, using PyTorch and Detectron2

adversarial-attacks adversarial-examples adversarial-machine-learning detectron detectron2 object-detection pytorch segmentation

Last synced: 12 May 2025

https://github.com/rvinas/adversarial-gene-expression

Adversarial generation of gene expression data using Generative Adversarial Networks

adversarial-machine-learning adversarial-networks bioinformatics e-coli gan gene-expression gene-regulatory-network generative-adversarial-network keras machine-learning tensorflow

Last synced: 18 Mar 2025

https://github.com/shreyansh26/red-teaming-language-models-with-language-models

A re-implementation of the "Red Teaming Language Models with Language Models" paper by Perez et al., 2022

adversarial-attacks adversarial-machine-learning gpt-2 large-language-models llama2 llm pythia red-teaming

Last synced: 29 Jun 2025

https://github.com/cdluminate/advrank

Adversarial Ranking Attack and Defense, ECCV, 2020.

adversarial-attacks adversarial-defense adversarial-machine-learning eccv-2020 metric-learning ranking

Last synced: 11 Mar 2026

https://github.com/poloclub/robust-principles

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

adversarial-attacks adversarial-machine-learning architecture robustness

Last synced: 22 Feb 2026

https://github.com/cdluminate/robrank

Adversarial Attack and Defense in Deep Ranking, T-PAMI, 2024

adversarial-attacks adversarial-defense adversarial-machine-learning adversarial-robustness adversarial-training deep-metric-learning dml metric-learning ranking

Last synced: 21 Mar 2025

https://github.com/yangarbiter/adversarial-nonparametrics

Robustness for Non-Parametric Classification: A Generic Attack and Defense

adversarial-machine-learning adversarial-pruning decision-tree nearest-neighbor robustness

Last synced: 29 Jan 2026

https://github.com/OODRobustBench/OODRobustBench

OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024

adversarial-examples adversarial-machine-learning out-of-distribution robustness

Last synced: 28 Mar 2025

https://github.com/shehzeen/waveguard_defense

This is the codebase for defense framework described in USENIX '21 paper "WaveGuard: Understanding and Mitigating Audio Adversarial Examples"

adversarial-machine-learning audio defense-methods machine-learning

Last synced: 30 Apr 2025

https://github.com/yizhe-ang/fake-detection-lab

Media Forensics / Fake Detection experiments in PyTorch. Implements Fighting Fake News: Image Splice Detection via Learned Self-Consistency

adversarial-attacks adversarial-machine-learning deep-learning deeplearning fake-news-detection machine-learning pytorch

Last synced: 23 Feb 2026

https://github.com/jaypmorgan/adversarial.jl

Adversarial attacks for Neural Networks written with FluxML

adversarial-attacks adversarial-machine-learning flux julia julialang machine-learning

Last synced: 05 Mar 2026

https://github.com/thomashirtz/gym-battleship

Battleship environment for reinforcement learning tasks

adversarial adversarial-machine-learning battleship battleship-environment environment gym-battleship openai openai-gym reinforcement-learning reinforcement-learning-environment

Last synced: 09 Apr 2025

https://badripatro.github.io/Question-Paraphrases/

adversarial-machine-learning adversarial-networks answers coling2018 deep-neural-networks paraphrase-generation paraphrase-identification question-answering questions-generation sentiment-analysis sentiment-classification sentiment-scores vqa vqg

Last synced: 12 May 2025

https://github.com/ljvmiranda921/vs-split

A Python library for creating adversarial splits

adversarial-examples adversarial-machine-learning machine-learning python

Last synced: 23 Apr 2025

https://github.com/wecarsoniv/augmented-pca

Repository for the AugmentedPCA Python package.

adversarial-autoencoder adversarial-autoencoders adversarial-machine-learning augmented-pca augmentedpca autoencoder autoencoders dimension-reduction dimensionality-reduction factor-model factor-models fair-machine-learning linear-models machine-learning pca principal-component-analysis representation-learning supervised-autoencoder supervised-autoencoders

Last synced: 14 Jan 2026

https://github.com/nesl/neurosymbolic-tinyml

TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning

adversarial-machine-learning ai automl bayesian constrained-optimization deep-learning edgeml feature-selection hyperparameter-tuning kalman-filter machine-learning microcontroller mlperf-inference neural-architecture-search neural-network neurosymbolic physics-aware-ml tensorflow-lite-micro tinyml

Last synced: 23 Jan 2026

https://github.com/mitre/arlin

ARLIN is a research library written in Python that provides explainability outputs and vulnerability detection for DRL models, specifically designed to increase model assurance and identify vulnerabilities and potential points of failure within a trained model. https://mitre.github.io/arlin/

adversarial-machine-learning explainable-ai python reinforcement-learning

Last synced: 21 Apr 2025

https://github.com/midas-research/calling-out-bluff

adversarial-machine-learning

Last synced: 23 Apr 2025

https://github.com/cuge1995/it-defense

Our code for paper 'The art of defense: letting networks fool the attacker', IEEE Transactions on Information Forensics and Security, 2023

adversarial-attacks adversarial-examples adversarial-machine-learning point-cloud

Last synced: 14 Aug 2025

https://github.com/Bai-YT/AdaptiveSmoothing

Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".

adversarial-attacks adversarial-defense adversarial-machine-learning adversarial-robustness robust-machine-learning

Last synced: 04 Apr 2025

https://github.com/jiep/adversarial-machine-learning

Taller de Adversarial Machine Learning

adversarial-attacks adversarial-examples adversarial-machine-learning adversarial-robustness-toolbox counterfit evasion-attacks extraction-attacks inversion-attacks poisoning-attacks

Last synced: 23 Jul 2025

https://github.com/cuge1995/u6da

official Pytorch implementation of paper 'Adversarial samples for deep monocular 6D object pose estimation'

6d 6dof-pose adversarial-attacks adversarial-defense adversarial-examples adversarial-machine-learning pose-estimation

Last synced: 02 Mar 2025

https://github.com/starfys/packet_captor_sakura

Research code for "Improving Meek With Adversarial Techniques"

adversarial-attacks adversarial-machine-learning meek tor

Last synced: 12 Jan 2026

https://github.com/zjysteven/privacyattack_at_fl

A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.

adversarial-machine-learning adversarial-robustness adversarial-training federated-learning privacy

Last synced: 04 Sep 2025

https://github.com/shreyansh26/nids-in-an-adversarial-setting

Network Intrusion Detection in an Adversarial setting

adversarial-machine-learning cleverhans network-intrusion-detection nids

Last synced: 10 Apr 2025

https://github.com/mitre/inap

A pipeline for generating inconspicuous naturalistic adversarial patches (INAPs) against object detectors with one input image

adversarial-attacks adversarial-machine-learning adversarial-patches generative-adversarial-network object-detection

Last synced: 21 Apr 2025

https://github.com/oskarfernlund/niteshade

Library for simulating data poisoning attack and defence strategies against online machine learning systems.

adversarial-machine-learning data-poisoning-attacks online-machine-learning

Last synced: 14 Jan 2026

https://github.com/OPTML-Group/AdvUnlearn

Official implementation of "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models"

adversarial-machine-learning robust-optimization stable-diffusion unlearned-diffusion-model unlearning

Last synced: 27 Mar 2025

https://github.com/emaballarin/carso

👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)

adversarial-defense adversarial-machine-learning adversarial-robustness artificial-intelligence artificial-neural-networks cognitive-computing deep-learning deep-neural-networks machine-learning neural-network neural-networks neural-representation neural-representations neuro-inspired robust-machine-learning robustness variational-autoencoder variational-method

Last synced: 14 Apr 2025

https://github.com/aintrust-ai/aixploit

Engineered to help red teams and penetration testers exploit large language model AI solutions vulnerabilities.

adversarial-attacks adversarial-machine-learning chatgpt hacking large-language-models llm llm-guardrails llm-security prompt-injection redteaming

Last synced: 11 Apr 2025

https://github.com/edaaydinea/csmm101x-artificial-intelligence

This repository includes the projects of the CSMM101X - Artificial Intelligence course offered by Columbia University.

adversarial-machine-learning artificial-intelligence columbia-university constraint-satisfaction-problem machine-learning natural-language-processing search-algorithms

Last synced: 11 Apr 2025

https://github.com/shreyansh26/convnext-adversarial-examples

Generating Adversarial examples for ConvNeXt

adversarial-attacks adversarial-machine-learning convnext deeplearning image-classification

Last synced: 08 May 2026

https://github.com/zrthxn/cryptogan

Final year project. A GAN based approach to encrypt communication between two symmetrically secure parties.

adversarial-machine-learning neural-cryptography

Last synced: 15 Aug 2025

https://github.com/eth-sri/drs

[NeurIPS 2022] (De-)Randomized Smoothing for Decision Stump Ensembles

adversarial-machine-learning certified-robustness decision-stump-ensembles randomized-smoothing tree-based-models

Last synced: 09 Feb 2026

https://github.com/juburr/bitcamo

An adversarial machine learning (AML) tool for modifying Windows PE files to evade detection by malware classifiers.

adversarial-attacks adversarial-examples adversarial-machine-learning antivirus-evasion malware-research

Last synced: 17 Jan 2026

https://github.com/antonior92/advtrain-linreg

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

adversarial-attacks adversarial-machine-learning linear-models linear-regression linear-regression-python machine-learning

Last synced: 19 Aug 2025

https://github.com/alvinwan/tricking-neural-networks

Fooling a neural network with adversarial examples

adversarial-example adversarial-machine-learning deep-learning tutorial

Last synced: 27 Oct 2025

https://github.com/bbvanexttechnologies/art-tutorial

An ART tutorial

adversarial-machine-learning adversarial-robustness adversarial-robustness-toolbox art tutorial

Last synced: 25 Feb 2025

https://github.com/lanl/adversarialtensors

Tensors-based framework for adversarial robustness

adversarial-attacks adversarial-defense adversarial-machine-learning lowrankdenoising tensorfactorization

Last synced: 29 Mar 2025

https://github.com/jankinf/anda

Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning (Accepted by CVPR2024)

adversarial-attacks adversarial-examples adversarial-machine-learning

Last synced: 29 Mar 2025

https://github.com/eth-sri/aces

[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing

adversarial-machine-learning adversarial-robustness certified-robustness deep-neural-networks randomized-smoothing

Last synced: 10 Sep 2025

https://github.com/cuge1995/icml-2021-adversarial-attack-and-defense

ICML-2021 paper and code list on adversarial-attack-and-defense

adversarial-attacks adversarial-examples adversarial-machine-learning defense

Last synced: 07 Mar 2026

https://github.com/filippodaniotti/tacv-da-project

Trends and Applications of Computer Vision - UniTN - Prof. Sebe - MSc AIS 2022

adversarial-machine-learning deep-learning domain-adaptation image-classification jupyter-notebook pytorch resnet-18 self-training unsupervised-domain-adaptation

Last synced: 16 Apr 2026

https://github.com/avinash793/adversarial-attacks-on-load-forecasting-model

Studied the impact of adversarial attacks on RNN Based load forecasting model.

adversarial-attacks adversarial-examples adversarial-learning adversarial-machine-learning deep-learning forecasting forecasting-models keras load-forecasting python3 rnn rnn-lstm security

Last synced: 19 Apr 2026

https://github.com/filippodaniotti/dl-domain-adaptation

Machine Learning mod. 2: Deep Learning - UniTN - Prof. Ricci- MSc AIS 2022

adversarial-machine-learning computer-vision deep-learning domain-adaptation imageclassification self-supervised-learning unsupervised-domain-adaptation

Last synced: 20 Apr 2026

https://github.com/raghu150999/bileat_e2e_absa

BERT based deep neural network for aspect-based sentiment analysis.

adversarial-machine-learning aspect-based-sentiment-analysis bert black-box-attacks deep-learning nlp white-box-attacks

Last synced: 28 Oct 2025

https://github.com/denselance/pip-pipeline

The Punctuation Injection Permutator (PIP) pipeline can craft an adversarial prompt automatically using an optimizer and a vision-language model (VLM) evaluator in both untargeted and targeted attack settings.

adversarial-attacks adversarial-machine-learning diffusion-models t2i t2i-diffusion-model

Last synced: 02 Aug 2025

https://github.com/matouskozak/exe-scanner

A lightweight plugin that improves malware classifiers' robustness against adversarial attacks on Windows executables (EXEmples). Based on the research paper "Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples" (2025).

adversarial-machine-learning malware-detection security windows

Last synced: 27 Apr 2026