fabiocarrara / features-adversarial-detLinks
Detect adversarial images from intermediate features in distance space
☆12Updated 7 years ago
Alternatives and similar repositories for features-adversarial-det
Users that are interested in features-adversarial-det are comparing it to the libraries listed below
Sorting:
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 8 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Updated 7 years ago
- Generalized Data-free Universal Adversarial Perturbations☆72Updated 7 years ago
- Mitigating Adversarial Effects Through Randomization☆120Updated 7 years ago
- A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.☆60Updated 7 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Updated 7 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Updated 5 years ago
- StrAttack, ICLR 2019☆33Updated 6 years ago
- ☆48Updated 4 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 3 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61Updated 6 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆136Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Updated 4 years ago
- Code for NeurIPS 2019 Paper☆48Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 years ago
- ☆57Updated 2 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 5 years ago
- This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)☆46Updated 6 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 11 months ago
- Code for FAB-attack☆34Updated 5 years ago
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Updated 7 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- Generative Adversarial Perturbations (CVPR 2018)☆138Updated 4 years ago