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178 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/

Promptbench ⭐ 1,655

A unified evaluation framework for large language models

Taadpapers ⭐ 1,413

Must-read Papers on Textual Adversarial Attack and Defense

Deeprobust ⭐ 904

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

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Auto Attack ⭐ 587

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Openattack ⭐ 571

An Open-Source Package for Textual Adversarial Attack.

Natural Adv Examples ⭐ 559

A Harder ImageNet Test Set (CVPR 2021)

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

Textfooler ⭐ 376

A Model for Natural Language Attack on Text Classification and Inference

Adversarial Examples Pytorch ⭐ 353

Implementation of Papers on Adversarial Examples

Trojanzoo ⭐ 260

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Pro Gnn ⭐ 213

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Self-hardening firewall for large language models

Nettack ⭐ 187

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

Defensegan ⭐ 164

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

Yopo You Only Propagate Once ⭐ 148

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Anti Dreambooth ⭐ 140

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV'23)

Vigil Llm ⭐ 132

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

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"

Implementation for <Decoupled Networks> in CVPR'18.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

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.

Robust Classification ⭐ 94

CVPR 2022 Workshop Robust Classification

S Attack ⭐ 85

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Dialogue Understanding ⭐ 82

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Infobert ⭐ 81

[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

Source code for paper "Who is real Bob? Adversarial Attacks on Speaker Recognition Systems" (IEEE S&P 2021)

Scratchai ⭐ 81

scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.

Attackvlm ⭐ 79

Code of the paper: On Evaluating Adversarial Robustness of Large Vision-Language Models

Plexiglass ⭐ 79

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

Torchadver ⭐ 78

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

Generative_adversarial_perturbations ⭐ 78

Generative Adversarial Perturbations (CVPR 2018)

Steps towards physical adversarial attacks on facial recognition

Transferattack ⭐ 76

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

Disrupting Deepfakes ⭐ 75

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

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

Adversarial Learning Robustness ⭐ 71

Contains materials for workshops pertaining to adversarial robustness in deep learning.

Patch Wise Iterative Attack ⭐ 71

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

Msc 2018 Final ⭐ 66

Nfl_veripy ⭐ 63

Formal Verification of Neural Feedback Loops (NFLs)

Face Robustness Benchmark ⭐ 63

An adversarial robustness evaluation library on face recognition.

Hyperion ⭐ 61

Python toolkit for speech processing

Narcissus ⭐ 61

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

Teapot Nlp ⭐ 59

Tool for Evaluating Adversarial Perturbations on Text

Robust Ood Detection ⭐ 59

Robust Out-of-distribution Detection in Neural Networks

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Sememepso Attack ⭐ 58

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

Mtcnnattack ⭐ 57

The first real-world adversarial attack on MTCNN face detetction system to date

Kitanaqa ⭐ 47

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Flowattack ⭐ 46

Attacking Optical Flow (ICCV 2019)

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Onlinelabelsmoothing ⭐ 45

The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021

Bss_distillation ⭐ 45

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Adversarial_lab ⭐ 45

Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

Hallucination Attack ⭐ 44

Attack to induce LLMs within hallucinations

Proof Pudding ⭐ 40

Copy cat model for Proofpoint

Advtrajectoryprediction ⭐ 40

Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057

[MICCAI 2023] Official code repository of paper titled "Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation" accepted in MICCAI 2023 conference.

Perceptual Advex ⭐ 39

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Adversarial Information Bottleneck ⭐ 37

Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck" in NeurIPS 2021

Ssah Adversarial Attack ⭐ 37

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

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

Pros Gan ⭐ 33

[CVPR 2021] Official repository for "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing"

Wacv 2024 Papers ⭐ 32

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

Provably Robust Boosting ⭐ 32

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

Generalized Data-free Universal Adversarial Perturbations

An Algorithm to Quantify Robustness of Recurrent Neural Networks

[ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability

Learnable Boundary Guided Adversarial Training (ICCV2021)

Vibraniumdome ⭐ 29

The world's first open source LLM Applications Firewall.

Square Attack ⭐ 27

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Neural Ode Metasolver ⭐ 24

Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561

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

[ECCV2020] Robust Tracking against Adversarial Attacks

Triple Wins ⭐ 22

[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“

Source Code for 'SECurity evaluation platform FOR Speaker Recognition' released in 'Defending against Audio Adversarial Examples on Speaker Recognition Systems'

Gnnguard ⭐ 22

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Style Atk ⭐ 21

Author implementation of Exploring Adversarial Fake Images on Face Manifold (CVPR 2021 oral)

Geometric_adv ⭐ 21

Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)

Diagnosere ⭐ 21

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Sparse Rs ⭐ 21

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

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

Adversarial Point Perturbations On 3d Objects ⭐ 19

New distributional and shape attacks on neural networks that process 3D point cloud data.

Fab Attack ⭐ 18

Code for FAB-attack

Code Soup ⭐ 18

This is a collection of algorithms and approaches used in the book adversarial deep learning

Discreteblockbayesattack ⭐ 18

Official PyTorch implementation of "Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization" (ICML'22)

Torchattack ⭐ 18

🛡 A set of adversarial attacks in PyTorch

Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614

Adv Part Model ⭐ 18

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

Adversarial Ranking Attack and Defense, ECCV, 2020.

A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models"

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