jeromerony / fast_adversarialLinks
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
☆135Updated 4 years ago
Alternatives and similar repositories for fast_adversarial
Users that are interested in fast_adversarial are comparing it to the libraries listed below
Sorting:
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆164Updated 6 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆57Updated 6 years ago
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- Mitigating Adversarial Effects Through Randomization☆120Updated 7 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆124Updated 7 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 8 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆141Updated last year
- Spatially Transformed Adversarial Examples with TensorFlow☆74Updated 6 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆242Updated 5 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆188Updated 4 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆138Updated 4 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆85Updated 6 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆197Updated 2 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆114Updated 3 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆176Updated last year
- ☆25Updated 5 years ago
- Pytorch - Adversarial Training☆26Updated 7 years ago
- Robustness vs Accuracy Survey on ImageNet☆98Updated 3 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Data independent universal adversarial perturbations☆62Updated 5 years ago
- StrAttack, ICLR 2019☆33Updated 5 years ago
- Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"☆100Updated 6 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Updated 7 years ago