jeromerony / adversarial-libraryLinks
Library containing PyTorch implementations of various adversarial attacks and resources
☆161Updated this week
Alternatives and similar repositories for adversarial-library
Users that are interested in adversarial-library are comparing it to the libraries listed below
Sorting:
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 3 years ago
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- A unified benchmark problem for data poisoning attacks☆157Updated last year
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- ☆51Updated 3 years ago
- A paper list for localized adversarial patch research☆155Updated last month
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆156Updated 5 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆166Updated 5 years ago
- Paper sharing in adversary related works☆45Updated 2 weeks ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆445Updated last year
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- ☆66Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆151Updated 4 years ago
- Revisiting Transferable Adversarial Images (arXiv)☆126Updated 5 months ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆58Updated 5 years ago
- A Leaderboard for Certifiable Robustness against Adversarial Patch Attacks☆21Updated last year
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆108Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Adversarial Robustness, White-box, Adversarial Attack☆50Updated 3 years ago
- ☆28Updated 4 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆170Updated last year
- ☆63Updated 4 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 4 years ago
- ☆85Updated 4 years ago
- Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"☆42Updated 2 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆143Updated 2 years ago
- ☆157Updated 4 years ago
- ☆23Updated last year