cihangxie / NIPS2017_adv_challenge_defense
Mitigating Adversarial Effects Through Randomization
☆116Updated 6 years ago
Related projects: ⓘ
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆129Updated 6 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- PyTorch library for adversarial attack and training☆141Updated 5 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Updated 3 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆112Updated 2 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆90Updated 3 years ago
- CAAD 2018 winning submissions☆35Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 years ago
- For Competition on Adversarial Attacks and Defenses 2018☆40Updated 5 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆138Updated last year
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆83Updated 5 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆242Updated 4 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆133Updated 3 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆165Updated 3 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆227Updated 6 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 5 years ago
- Blackbox attacks for deep neural network models☆72Updated 6 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆122Updated 6 years ago
- Ensemble Adversarial Training on MNIST with pytorch☆20Updated 5 years ago
- Public repo for transferability ICLR 2017 paper☆49Updated 5 years ago
- Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track☆45Updated 6 years ago
- AAAI 2019 oral presentation☆49Updated last month
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆191Updated last year
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆121Updated 3 years ago
- ☆46Updated 3 years ago