cihangxie / NIPS2017_adv_challenge_defense
Mitigating Adversarial Effects Through Randomization
☆118Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for NIPS2017_adv_challenge_defense
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆130Updated 6 years ago
- PyTorch library for adversarial attack and training☆143Updated 5 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆243Updated 5 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Updated 3 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆92Updated 3 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆228Updated 6 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆139Updated last year
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆166Updated 3 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆113Updated 2 years ago
- CAAD 2018 winning submissions☆34Updated 5 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 3 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆122Updated 6 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- For Competition on Adversarial Attacks and Defenses 2018☆40Updated 5 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆88Updated 5 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆231Updated 5 years ago
- Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track☆45Updated 7 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆184Updated 4 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆83Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆195Updated last year
- PyTorch Implementation of Adversarial Training for Free!☆239Updated 3 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- StrAttack, ICLR 2019☆32Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago