revbucket / mister_ed
Pytorch Adversarial Attack Framework
☆78Updated 5 years ago
Alternatives and similar repositories for mister_ed:
Users that are interested in mister_ed are comparing it to the libraries listed below
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆92Updated last year
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 5 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆64Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 7 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆74Updated 6 years ago
- Ensemble Adversarial Training on MNIST☆121Updated 7 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 6 years ago
- Code for FAB-attack☆32Updated 4 years ago
- Generalized Data-free Universal Adversarial Perturbations☆70Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆63Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆146Updated 4 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆123Updated 4 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆186Updated 4 years ago
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆72Updated 9 months ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- Mitigating Adversarial Effects Through Randomization☆119Updated 7 years ago
- Generative Adversarial Perturbations (CVPR 2018)☆137Updated 4 years ago
- ☆87Updated 7 months ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆174Updated 10 months ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago
- ☆47Updated 4 years ago
- Blackbox attacks for deep neural network models☆70Updated 6 years ago
- AAAI 2019 oral presentation☆50Updated 7 months ago
- Data independent universal adversarial perturbations☆61Updated 5 years ago