Jack-lx-jiang / MD_attacks
Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)
☆11Updated 4 years ago
Alternatives and similar repositories for MD_attacks:
Users that are interested in MD_attacks are comparing it to the libraries listed below
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 3 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 5 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆72Updated 8 months ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- ☆35Updated 4 years ago
- ☆57Updated 2 years ago
- Code for FAB-attack☆32Updated 4 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 4 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Updated 4 years ago
- Pytorch - Adversarial Training☆26Updated 6 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- StrAttack, ICLR 2019☆32Updated 5 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 4 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆62Updated 3 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆95Updated 2 years ago
- Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)☆19Updated 2 years ago
- ☆16Updated 5 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 4 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆56Updated 4 years ago
- ☆45Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆38Updated 3 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆34Updated 7 months ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- Implemented CURE algorithm from robustness via curvature regularization and vice versa☆30Updated 2 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆35Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Updated 4 years ago