huanzhang12 / ZOO-Attack
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
☆168Updated 3 years ago
Alternatives and similar repositories for ZOO-Attack:
Users that are interested in ZOO-Attack are comparing it to the libraries listed below
- Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"☆196Updated last year
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆174Updated 3 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆93Updated 4 years ago
- AAAI 2019 oral presentation☆50Updated 5 months ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- Mitigating Adversarial Effects Through Randomization☆119Updated 6 years ago
- ☆53Updated last year
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 6 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆56Updated 5 years ago
- PyTorch library for adversarial attack and training☆143Updated 6 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆122Updated 4 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆144Updated 4 years ago
- The translation-invariant adversarial attack method to improve the transferability of adversarial examples.☆140Updated last year
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆234Updated 5 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆85Updated 7 years ago
- ☆46Updated 3 years ago
- Pytorch Adversarial Attack Framework☆78Updated 5 years ago
- Countering Adversarial Image using Input Transformations.☆492Updated 3 years ago
- A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition☆131Updated 6 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆244Updated 5 years ago
- Public repo for transferability ICLR 2017 paper☆52Updated 6 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆57Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆72Updated 7 months ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples☆38Updated 6 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆184Updated 4 years ago