lfz / Guided-Denoise
The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
☆228Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Guided-Denoise
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆130Updated 6 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
- Mitigating Adversarial Effects Through Randomization☆118Updated 6 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆162Updated 5 years ago
- Countering Adversarial Image using Input Transformations.☆490Updated 3 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆231Updated 5 years ago
- The code for ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples (CVPR2019)☆113Updated 2 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
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆221Updated 5 years ago
- PyTorch library for adversarial attack and training☆143Updated 5 years ago
- Implementation of Papers on Adversarial Examples☆389Updated last year
- Pytorch code to generate adversarial examples on mnist and ImageNet data.☆116Updated 5 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
- Robustness vs Accuracy Survey on ImageNet☆99Updated 3 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 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
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆85Updated 7 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆277Updated 6 years ago
- PyTorch Implementation of Adversarial Training for Free!☆239Updated 3 years ago
- Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge☆19Updated 5 years ago
- For Competition on Adversarial Attacks and Defenses 2018☆40Updated 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
- Adversarial Examples for Semantic Segmentation and Object Detection☆122Updated 6 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆59Updated 6 years ago
- Pytorch implementation of convolutional neural network adversarial attack techniques☆353Updated 5 years ago
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆195Updated last year
- Physical adversarial attack for fooling the Faster R-CNN object detector☆156Updated 4 years ago