DebangLi / one-pixel-attack-pytorchLinks
Pytorch reimplementation of "One pixel attack for fooling deep neural networks"
☆85Updated 7 years ago
Alternatives and similar repositories for one-pixel-attack-pytorch
Users that are interested in one-pixel-attack-pytorch are comparing it to the libraries listed below
Sorting:
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆197Updated 2 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆164Updated 6 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆290Updated 7 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆138Updated 4 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆45Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Updated last year
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆114Updated 3 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆124Updated 7 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Updated 3 years ago
- Mitigating Adversarial Effects Through Randomization☆120Updated 7 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).☆271Updated 4 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆98Updated 4 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆135Updated 4 years ago
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆79Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 6 years ago
- A novel data-free model stealing method based on GAN☆127Updated 2 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"☆156Updated 5 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆164Updated 5 years ago
- PyTorch implementation of adversarial patch☆215Updated 3 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆150Updated 4 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆251Updated 5 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year