tao-bai / attack-and-defense-methodsLinks
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
☆210Updated 3 years ago
Alternatives and similar repositories for attack-and-defense-methods
Users that are interested in attack-and-defense-methods are comparing it to the libraries listed below
Sorting:
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆167Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆147Updated 4 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆164Updated 4 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆198Updated 2 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆85Updated 4 years ago
- ☆63Updated 4 years ago
- A unified benchmark problem for data poisoning attacks☆155Updated last year
- Library containing PyTorch implementations of various adversarial attacks and resources☆157Updated last month
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆443Updated 10 months ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆154Updated 5 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆96Updated 4 years ago
- A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"☆57Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆251Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆253Updated 2 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆118Updated 3 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆270Updated 4 years ago
- ☆51Updated 3 years ago
- A curated list of awesome adversarial attack and defense papers☆42Updated 4 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆99Updated 2 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆97Updated 3 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆124Updated 6 months ago
- Paper sharing in adversary related works☆45Updated 2 weeks ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆167Updated 10 months ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆102Updated 9 months ago