Harry24k / catastrophic-overfitting
Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
☆28Updated 2 years ago
Alternatives and similar repositories for catastrophic-overfitting:
Users that are interested in catastrophic-overfitting are comparing it to the libraries listed below
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 4 months ago
- Detection of adversarial examples using influence functions and nearest neighbors☆34Updated 2 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆32Updated 4 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆31Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 3 years ago
- ☆40Updated last year
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 5 years ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 4 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆146Updated 4 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆71Updated 4 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 4 years ago
- ☆58Updated 2 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆27Updated 6 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated 10 months ago
- ☆13Updated 4 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Updated 5 years ago
- Universal Adversarial Networks☆33Updated 6 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆57Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40Updated 4 years ago
- ☆11Updated 2 years ago
- ☆35Updated 4 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago