Projects in Awesome Lists tagged with adversarial-examples
A curated list of projects in awesome lists tagged with adversarial-examples .
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/dhowe/AdNauseam
AdNauseam: Fight back against advertising surveillance
adversarial-examples browser-extension critical-design privacy privacy-enhancing-technologies surveillance
Last synced: 14 Mar 2025
https://github.com/dhowe/adnauseam
AdNauseam: Fight back against advertising surveillance
adversarial-examples browser-extension critical-design privacy privacy-enhancing-technologies surveillance
Last synced: 07 Oct 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://github.com/bethgelab/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
adversarial-attacks adversarial-examples jax keras machine-learning python pytorch tensorflow
Last synced: 14 May 2025
https://github.com/advboxes/advbox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
adversarial-attacks adversarial-example adversarial-examples deep-learning deepfool fgsm graphpipe machine-learning onnx paddlepaddle security
Last synced: 08 Apr 2025
https://github.com/advboxes/AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
adversarial-attacks adversarial-example adversarial-examples deep-learning deepfool fgsm graphpipe machine-learning onnx paddlepaddle security
Last synced: 15 Mar 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/dse-msu/deeprobust
A pytorch adversarial library for attack and defense methods on images and graphs
adversarial-attacks adversarial-examples deep-learning deep-neural-networks defense graph-convolutional-networks graph-mining graph-neural-networks machine-learning
Last synced: 21 Oct 2025
https://github.com/DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
adversarial-attacks adversarial-examples deep-learning deep-neural-networks defense graph-convolutional-networks graph-mining graph-neural-networks machine-learning
Last synced: 12 May 2025
https://github.com/MadryLab/photoguard
Raising the Cost of Malicious AI-Powered Image Editing
adversarial-attacks adversarial-examples computer-vision deep-learning deepfakes robustness stable-diffusion
Last synced: 03 Apr 2025
https://github.com/airbnb/artificial-adversary
🗣️ Tool to generate adversarial text examples and test machine learning models against them
adversarial-examples black-box-attacks black-box-benchmarking classification data-mining data-science machine-learning metrics python python2 python3 spam spam-classification spam-detection spam-filtering text text-analysis text-classification text-mining text-processing
Last synced: 08 Oct 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/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/ryderling/DEEPSEC
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
adversarial-attacks adversarial-examples deep-leaning defenses
Last synced: 20 Apr 2025
https://github.com/Verified-Intelligence/alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
adversarial-examples adversarial-robustness neural-network-verification neural-networks robustness robustness-verification
Last synced: 21 May 2026
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/gmh14/RobNets
[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
adversarial-attacks adversarial-examples deep-learning-architectures neural-architecture-search robustness
Last synced: 12 May 2025
https://github.com/hendrycks/pre-training
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
adversarial-examples calibration data-corruption ml-safety out-of-distribution-detection pretrained robustness uncertainty
Last synced: 06 May 2025
https://github.com/rfeinman/detecting-adversarial-samples
Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)
adversarial-examples machine-learning neural-networks
Last synced: 20 Mar 2025
https://github.com/thunlp/sememepso-attack
Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"
adversarial-attacks adversarial-examples nlp pso sememe
Last synced: 25 Apr 2025
https://github.com/hfawaz/ijcnn19attacks
Adversarial Attacks on Deep Neural Networks for Time Series Classification
adversarial-attacks adversarial-examples deep-learning deep-neural-networks time-series-classification
Last synced: 09 Apr 2025
https://github.com/chenhongge/RobustTrees
[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
adversarial-examples decision-trees gbdt gbm gbrt robust-decision-trees xgboost
Last synced: 27 Mar 2025
https://github.com/ermongroup/generative_adversary
Code for the unrestricted adversarial examples paper (NeurIPS 2018)
adversarial-attacks adversarial-examples neurips2018
Last synced: 08 May 2025
https://github.com/utkuozbulak/adaptive-segmentation-mask-attack
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
adversarial-examples segmentation u-net
Last synced: 07 May 2025
https://github.com/spencerwooo/torchattack
🛡 A curated list of adversarial attacks in PyTorch, with a focus on transferable black-box attacks.
adversarial-attacks adversarial-examples pytorch
Last synced: 14 Apr 2025
https://github.com/tonyduan/rs4a
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
adversarial-examples machine-learning randomized-smoothing robust-machine-learning
Last synced: 10 Apr 2025
https://github.com/thunlp/advbench
Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".
adversarial-examples benchmark natural-language-processing security
Last synced: 03 Aug 2025
https://github.com/soumyac1999/fgsm-keras
Implemention of Fast Gradient Sign Method for generating adversarial examples in Keras
Last synced: 06 Oct 2025
https://github.com/xiaosen-wang/Adversarial-Examples-Paper
Paper list of Adversarial Examples
adversarial-attacks adversarial-examples
Last synced: 27 Mar 2025
https://github.com/GiorgosKarantonis/Adversarial-Attacks-with-Relativistic-AdvGAN
Using relativism to improve GAN-based Adversarial Attacks. 🦾
adversarial-attacks adversarial-examples advgan artificial-intelligence gan generative-adversarial-networks machine-learning madrylab-challenge relativistic-gan rsgan
Last synced: 27 Jul 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/imcaspar/audio-adv-papers
A curated list of awesome audio adversarial examples papers(with code & demo if available).
adversarial-attacks adversarial-examples
Last synced: 15 Feb 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/jmaces/robust-nets
Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).
adversarial-examples deep-learning fastmri inverse-problems neural-networks robustness stability
Last synced: 23 Apr 2025
https://github.com/dunky11/adversarial-frontier-stitching
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
adversarial-examples keras neural-network tensorflow tensorflow2 watermarking
Last synced: 10 Apr 2025
https://github.com/boschresearch/meta-adversarial-training
Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
adversarial-attacks adversarial-examples bcai machine-learning meta-learning
Last synced: 07 Oct 2025
https://github.com/jeromerony/augmented_lagrangian_adversarial_attacks
Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"
adversarial-attacks adversarial-examples pytorch
Last synced: 06 Oct 2025
https://github.com/luizgh/avc_nips_2018
Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge
adversarial-examples machine-learning
Last synced: 10 Apr 2025
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/google-research/active-adversarial-tests
Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"
adversarial-attacks adversarial-examples machine-learning machinelearning robustness
Last synced: 24 Apr 2025
https://github.com/cea-list/adv-reid
Metric Adversarial Attacks and Defense
adversarial-attacks adversarial-defense adversarial-examples adversarial-training metric-adversarial-attacks metric-learning re-identification
Last synced: 25 Jul 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/torrvision/whoneedsadversaries
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
adaptive-attacks adversarial-attacks adversarial-examples adversaries decision-boundaries deep-convolutional-networks defense-methods machine-learning-visualization robustness saliency-maps universal-adversarial-perturbations
Last synced: 11 Apr 2025
https://github.com/jonasrauber/linear-region-attack
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
adversarial-attacks adversarial-examples machine-learning neural-networks python
Last synced: 07 May 2025
https://github.com/sayakpaul/adversarial-examples-in-deep-learning
Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
adversarial-examples adversarial-training keras neural-structured-learning tensorflow
Last synced: 07 May 2025
https://github.com/salesforce/adversarial-polyglots
Code for the paper "Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots" (NAACL-HLT 2021)
adversarial-attacks adversarial-examples adversarial-training code-mixing multilingual nlp robustness
Last synced: 16 Apr 2025
https://github.com/humancompatibleai/better-adversarial-defenses
Training in bursts for defending against adversarial policies
adversarial-examples adversarial-policies gym multiagent-reinforcement-learning population-based-training ray reinforcement-learning rllib stable-baselines tensorflow2
Last synced: 11 Jun 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/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/alvinwan/emotion-based-dog-filter
Real-time Emotion-Based, Snapchat-esque Dog Filter using Computer Vision
adversarial-examples computer-vision dog-filter face-detection face-recognition machine-learning opencv python3 pytorch
Last synced: 30 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/mayukhdeb/deep-chicken-saviour
using adversarial attacks to confuse deep-chicken-terminator :shield: :chicken:
adversarial-attacks adversarial-examples computer-vision fgsm object-detection opencv pytorch
Last synced: 18 Mar 2025
https://github.com/zer0int/clip-gradient-ascent-embeddings
Use CLIP to create matching texts + embeddings for given images; useful for XAI, adversarial training
adversarial-attacks adversarial-examples clip contrastive-language-image-pretraining embeddings gradient-ascent text-embeddings text-image typographic-attack
Last synced: 30 Apr 2025
https://github.com/jonasrauber/analysis-by-synthesis
Analysis by Synthesis — reimplemented
adversarial-examples machine-learning pytorch
Last synced: 16 Aug 2025
https://github.com/msakai/bnn-verification
BNN verification dataset for Max-SAT Evaluation 2020 and MIPLIB 2024
adversarial-examples binarized-neural-networks maxsat maxsat-solver milp mip mixed-integer-linear-programming mixed-integer-programming sat-solver
Last synced: 05 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/juliusberner/theory2practice
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
adversarial-examples deep-learning learning-theory machine-learning-algorithms neural-networks pytorch ray-tune weights-and-biases
Last synced: 22 Jul 2025
https://github.com/jonasrauber/norm
Norm is a tiny command-line utility to compute the norm of the difference between two images
adversarial-examples image-processing nim nim-lang
Last synced: 03 Apr 2025
https://github.com/zer0int/clip-generative-adversarial
Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP
adversarial adversarial-attacks adversarial-examples ai clip generative generative-ai pgd vision-transformer xai
Last synced: 19 May 2026
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/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/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/uoguelph-mlrg/nips18-secml-advex-input-fault
Adversarial Examples as an Input-Fault Tolerance Problem
adversarial-attacks adversarial-examples fault-tolerance information-theory
Last synced: 12 May 2026
https://github.com/angusg/batch-norm-vulnerability
Master source code repo for "Batch Normalization is a Cause of Adversarial Vulnerability"
adversarial-attacks adversarial-examples batch-normalization deep-learning machine-learning pytorch
Last synced: 04 Apr 2025
https://github.com/psteinb/adversarial-medical-imaging-test-code
slidedeck and resources for my talk on adversarial examples in medical imaging
adversarial adversarial-examples deep deep-learning learning medical-imaging slides
Last synced: 22 Aug 2025
https://github.com/bhavya01/demo-fgsm
This repository is a demo of the fast gradient sign method for generating adversarial examples
Last synced: 04 Apr 2025
https://github.com/jaypmorgan/adaptive-neighbourhoods
Python API for generating adapted and unique neighbourhoods for searching for adversarial examples.
adversarial-attacks adversarial-examples adversarial-learning deep-learning machine-learning
Last synced: 13 May 2026
https://github.com/akshay-gupta123/moorkh
A Python toolbox to create adversarial examples that fool neural networks in PyTorch.
adversarial-attacks adversarial-examples deep-learning pytorch
Last synced: 11 Apr 2026
https://github.com/rathore25/adversarial-examples
Generating universal and targeted adversarial examples
adversarial-examples cifar10 cnn-keras neural-network
Last synced: 07 Apr 2025
https://github.com/kzkadc/adversarial-example-mnist
Adversarial attack on MNIST
adversarial-attacks adversarial-examples pytorch
Last synced: 22 May 2026
https://github.com/giatraskon/machine_learning_assignments
Machine learning assignments covering regression, classification, neural networks, adversarial examples, and real-time emotion detection using Python. Includes theoretical insights and practical implementations.
adversarial-examples bayesian-inference bias-variance-tradeoff cifar10 classification deep-learning emotion-recognition iris-dataset k-nearest-neighbours keras machine-learning mnist neural-networks opencv pima-indians-diabetes python regression ridge-regression scikit-learn tensorflow
Last synced: 08 Apr 2026
https://github.com/wondermongering/linguisticperturber
Probing linguistic robustness in transformers: a quantum-inspired approach to AI interpretability
adversarial-examples ai-interpretability ai-safety computational-linguistics language-model-analysis machine-learning natural-language-processing perturbation-analysis probabilistic-models transformer-models word-embeddings
Last synced: 16 Mar 2025
https://github.com/shoaib1522/artificial-intelligence-
🚀 Dive into the world of **Artificial Intelligence** 🤖 with hands-on **labs, algorithms, assignments, and resources** 📚 – the ultimate AI learning repository! 💡✨
adversarial-examples analytics artificial-intelligence artificial-neural-networks backpropagation linear-regression logistic-regression mlp-classifier perceptron-learning-algorithm python python3 regression
Last synced: 30 Jul 2025
https://github.com/vladned/tic-tac-toe
A tic-tac-toe using minmax adversial search algorithm as an opponent
adversarial-examples adversarial-machine-learning python tic-tac-toe
Last synced: 09 Apr 2025
https://github.com/ramtinmoslemi/catastrophic-overfitting-papers
A full list of papers on Catastrophic Overfitting from arXiv
adversarial-attacks adversarial-examples adversarial-machine-learning adversarial-training awesome-list catastrophic-overfitting fast-adversarial-training
Last synced: 15 May 2026
