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The Top 23 Adversarial Robustness Open Source Projects

Open source projects categorized as Adversarial Robustness
Categories > Adversarial Robustness
Auto Attack ⭐ 587
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
most recent commit 5 months ago
Robustbench ⭐ 566
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
most recent commit 5 months ago
Ares ⭐ 413
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
most recent commit 8 months ago
Easyrobust ⭐ 293
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
most recent commit 5 months ago
Alpha Beta Crown ⭐ 205
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)
most recent commit 2 months ago
Self Adaptive Training ⭐ 104
Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'
most recent commit 3 years ago
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
most recent commit 8 months ago
Denoised Smoothing ⭐ 69
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
most recent commit 3 years ago
Adv Ss Pretraining ⭐ 65
[CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
most recent commit 4 years ago
Aug Nerf ⭐ 65
[CVPR 2022] "Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations" by Tianlong Chen*, Peihao Wang*, Zhiwen Fan, Zhangyang Wang
most recent commit 2 years ago
Dverge ⭐ 43
Pytorch implementation of our NeurIPS'20 *Oral* paper "DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles" https://papers.nips.cc/paper/2020/hash/3ad7c2ebb96
most recent commit 2 years ago
Featurescatter ⭐ 39
Feature Scattering Adversarial Training
most recent commit 4 years ago
Adversarial_robustness_pytorch ⭐ 37
Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch
most recent commit 2 years ago
Square Attack ⭐ 27
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
most recent commit 4 years ago
L_inf Dist Net ⭐ 24
This is the official github repo for training L_inf dist nets with high certified accuracy.
most recent commit 2 years ago
Lnets ⭐ 24
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
most recent commit 4 years ago
Patch Fool ⭐ 22
[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin
most recent commit 2 years ago
Triple Wins ⭐ 22
[ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
most recent commit 3 years ago
Robrank ⭐ 18
Adversarial Attack and Defense in Deep Ranking, arXiv:2106.03614
most recent commit 6 months ago
Fab Attack ⭐ 18
Code for FAB-attack
most recent commit 4 years ago
Robust Residual Network ⭐ 15
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
most recent commit 10 months ago
Dkl ⭐ 15
Decoupled Kullback-Leibler Divergence Loss (DKL)
most recent commit 5 months ago
Hat ⭐ 14
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
most recent commit 2 years ago
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