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60 search results found

Adversarial Robustness Toolbox ⭐ 4,420

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

Foolbox ⭐ 2,600

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Textattack ⭐ 2,597

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

Deeprobust ⭐ 904

A pytorch adversarial library for attack and defense methods on images and graphs

Openattack ⭐ 571

An Open-Source Package for Textual Adversarial Attack.

Natural Adv Examples ⭐ 559

A Harder ImageNet Test Set (CVPR 2021)

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Artificial Adversary ⭐ 317

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Pytorch Cnn Adversarial Attacks ⭐ 272

Pytorch implementation of convolutional neural network adversarial attack techniques

Auto_lirpa ⭐ 239

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

Defensegan ⭐ 164

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Non Targeted Adversarial Attacks ⭐ 159

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

Adversarial Library ⭐ 123

Library containing PyTorch implementations of various adversarial attacks and resources

Fast_adversarial ⭐ 118

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

Simple pytorch implementation of FGSM and I-FGSM

Free_adv_train ⭐ 95

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Transferattackeval ⭐ 94

Revisiting Transferable Adversarial Image Examples (arXiv 2023)

Targeted Adversarial Attack ⭐ 88

A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition

Pytorch Adversarial_box ⭐ 88

PyTorch library for adversarial attack and training

Pre Training ⭐ 79

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

Generative_adversarial_perturbations ⭐ 78

Generative Adversarial Perturbations (CVPR 2018)

Torchadver ⭐ 78

A PyTorch Toolbox for creating adversarial examples that fool neural networks.

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Patch Wise Iterative Attack ⭐ 71

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

Detecting Adversarial Samples ⭐ 70

Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)

Understanding Fast Adv Training ⭐ 67

Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

Crown Ibp ⭐ 64

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

Sememepso Attack ⭐ 58

Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

Advencoder ⭐ 53

The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"

Spatially Transformed Adversarial Examples with TensorFlow

Robust Local Lipschitz ⭐ 50

A Closer Look at Accuracy vs. Robustness

Adaptive Segmentation Mask Attack ⭐ 40

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

Ssah Adversarial Attack ⭐ 37

Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

Adversarial Vision Challenge ⭐ 36

NIPS Adversarial Vision Challenge

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Daedalus Attack ⭐ 31

The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.

Malconv Keras ⭐ 30

This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adversarial sample crafting.

Tf Squeezenet ⭐ 27

TensorFlow version of SqueezeNet with converted pretrained weights

Jigsawvit ⭐ 25

(Pattern Recognition Letters 2023) Pytorch implementation of "Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer"

Adversarial Transformation Network ⭐ 25

A simple implement of an Adversarial Autoencoding ATN(AAE ATN)

Code for "Adversarial attack by dropping information." (ICCV 2021)

Speakerguard ⭐ 20

a Pytorch library for security research on speaker recognition, released in "Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition" accepted by TDSC

Avc_nips_2018 ⭐ 19

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

Torchattack ⭐ 18

🛡 A set of adversarial attacks in PyTorch

Adv Part Model ⭐ 18

Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

Augmented_lagrangian_adversarial_attacks ⭐ 14

Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"

Robust Nets ⭐ 14

Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdonald, and M. März (2020).

Scaleable input gradient regularization

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Thermometerencoding ⭐ 13

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

Adv Dnn Ens Malware ⭐ 13

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

Adv Reid ⭐ 12

Metric Adversarial Attacks and Defense

Adventure ⭐ 11

code for ACL 2018 paper by Kang et al., "AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples "

Deepsloth ⭐ 10

[ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference"

Nips17_adv_attack ⭐ 10

Tensorflow Implementation of adversarial learning based adversarial example generator

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Pytorch Adversarial Examples ⭐ 10

PyTorch Implemetations of Adversarial Examples

Reap Benchmark ⭐ 9

REAP: A Large-Scale Realistic Adversarial Patch Benchmark

Lgv Geometric Transferability ⭐ 9

Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"

It Defense ⭐ 8

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

Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".

Featurespaceattack ⭐ 8

Code for AAAI 2021 "Towards Feature Space Adversarial Attack".

Linear Region Attack ⭐ 8

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

Eegadversary ⭐ 8

This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

Meta Adversarial Training ⭐ 8

Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.

Prompt2slip ⭐ 8

This library is testing the ethics of language models by using natural adversarial texts.

Stereopagnosia ⭐ 7

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification

Spectraldef_framework ⭐ 6

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

Adversarial Item Promotion in visually-aware recommenders

Morphence ⭐ 6

Morphence: An implementation of a moving target defense against adversarial example attacks demonstrated for image classification models trained on MNIST and CIFAR10.

Ensemble_detect_adv ⭐ 6

Training Ensembles to Detect Adversarial Examples

Fpd For Adversarial Robustness ⭐ 6

Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder(CVPR2020)

Adversarialconvex ⭐ 6

Tensorflow implementation for generating adversarial examples using convex programming

Atla_robust_rl ⭐ 6

Robust Reinforcement Learning with the Alternating Training with Learned Adversaries (ATLA) framework

Black-box Adversarial Attacks on Video Recognition Models. (VBAD)

Adversarial_robustness_zsl ⭐ 5

[ECCV 2020 AROW Workshop] A Deep Dive into Adversarial Robustness in Zero-Shot Learning

Emotion Based Dog Filter ⭐ 5

Real-time Emotion-Based, Snapchat-esque Dog Filter using Computer Vision

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