hongw579 / AGKD-BML
Codes for ICCV 2021 paper "AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning"
☆12Updated 3 years ago
Alternatives and similar repositories for AGKD-BML:
Users that are interested in AGKD-BML are comparing it to the libraries listed below
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Updated 4 months ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆60Updated 3 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆61Updated 2 years ago
- ☆58Updated 2 years ago
- ☆11Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆28Updated 4 months ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- Pytorch implementation of NPAttack☆12Updated 4 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆17Updated last year
- This is the code for semi-supervised robust training (SRT).☆18Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 2 years ago
- GreedyFool (NIPS2020) official code for saprse adversarial attack☆35Updated 4 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- SEAT☆20Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"☆28Updated 4 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆40Updated 3 years ago
- [ICML 2021 Long Talk] "Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm" by Mingkang Zhu, Tianlong Chen, Zhangyang Wa…☆9Updated 3 years ago
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆26Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- ☆35Updated 4 years ago
- [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback☆35Updated 4 years ago
- ☆25Updated 3 years ago
- ☆30Updated 3 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder(CVPR2020)☆12Updated 4 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 2 years ago
- [CVPR 2022 oral] Subspace Adversarial Training☆26Updated last year