Adversarial Distributional Training (NeurIPS 2020)
☆63Mar 17, 2021Updated 4 years ago
Alternatives and similar repositories for Adversarial-Distributional-Training
Users that are interested in Adversarial-Distributional-Training are comparing it to the libraries listed below
Sorting:
- ☆20Mar 14, 2022Updated 3 years ago
- ☆35Dec 9, 2020Updated 5 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- ☆71May 18, 2021Updated 4 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Dec 23, 2020Updated 5 years ago
- This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to …☆33Dec 18, 2023Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- Code for ISSTA'21 paper 'Attack as Defense: Characterizing Adversarial Examples using Robustness'.☆12Sep 4, 2021Updated 4 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆52Nov 2, 2020Updated 5 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆43Feb 27, 2020Updated 6 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Feb 21, 2021Updated 5 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆189Feb 18, 2021Updated 5 years ago
- ☆11Jan 21, 2021Updated 5 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆142Aug 23, 2023Updated 2 years ago
- An adversarial robustness evaluation library on face recognition.☆114Jul 6, 2023Updated 2 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- ☆47Feb 21, 2020Updated 6 years ago
- ☆28Jun 27, 2022Updated 3 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆137Nov 25, 2020Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- white box adversarial attack☆37Jan 30, 2021Updated 5 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆771Mar 31, 2025Updated 11 months ago
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆252Oct 30, 2019Updated 6 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆49Oct 9, 2020Updated 5 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆525Oct 15, 2023Updated 2 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Dec 21, 2020Updated 5 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Feb 1, 2022Updated 4 years ago
- [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback☆35Mar 8, 2021Updated 4 years ago
- [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…☆125Dec 29, 2021Updated 4 years ago