Harry24k / catastrophic-overfittingLinks
Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
☆28Updated 3 years ago
Alternatives and similar repositories for catastrophic-overfitting
Users that are interested in catastrophic-overfitting are comparing it to the libraries listed below
Sorting:
- Detection of adversarial examples using influence functions and nearest neighbors☆37Updated 3 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 11 months ago
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆53Updated 5 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Updated 4 years ago
- ☆41Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Adversarial Distributional Training (NeurIPS 2020)☆63Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59Updated 6 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Updated 5 years ago
- ☆58Updated 3 years ago
- ConvexPolytopePosioning☆37Updated 5 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Updated 4 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Updated 7 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated 2 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆126Updated 2 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Updated 5 years ago
- ☆87Updated 4 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Updated 5 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
- This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial exam…☆34Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- PyTorch implementations of Adversarial defenses and utils.☆34Updated last year
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Updated 5 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 4 years ago
- Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…☆40Updated 5 years ago
- ☆48Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆42Updated 5 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago