P2333 / Bag-of-Tricks-for-ATLinks
Empirical tricks for training robust models (ICLR 2021)
☆253Updated 2 years ago
Alternatives and similar repositories for Bag-of-Tricks-for-AT
Users that are interested in Bag-of-Tricks-for-AT are comparing it to the libraries listed below
Sorting:
- ☆157Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆147Updated 4 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- PyTorch Implementation of Adversarial Training for Free!☆246Updated 3 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆251Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆142Updated 5 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆443Updated 10 months ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆180Updated 4 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆539Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆78Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆198Updated 2 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- ☆107Updated 3 years ago
- [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang☆114Updated 3 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆71Updated 4 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆174Updated last year
- Related papers for robust machine learning☆568Updated 2 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- Code for the paper "On the Adversarial Robustness of Visual Transformers"☆57Updated 3 years ago
- A Self-Consistent Robust Error (ICML 2022)☆68Updated last year
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- Improving Transferability of Adversarial Examples with Input Diversity☆164Updated 6 years ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆157Updated last month
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆138Updated last year
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Updated last year