boyellow / AdaAD
Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
☆34Updated last year
Alternatives and similar repositories for AdaAD:
Users that are interested in AdaAD are comparing it to the libraries listed below
- ☆34Updated 9 months ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated last year
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆33Updated 7 months ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- [CVPR23] "Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations" by Lei Hsi…☆22Updated 7 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆47Updated 4 months ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 2 years ago
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆13Updated 2 years ago
- [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu…☆33Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆40Updated 3 years ago
- ☆20Updated last month
- ☆13Updated 2 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆10Updated last year
- CVPR 2023 generalist☆15Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆13Updated last year
- SEAT☆20Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆20Updated last year
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆18Updated last year
- ☆23Updated 2 years ago
- [CVPR 2022 oral] Subspace Adversarial Training☆26Updated last year
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆23Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆23Updated last year
- ☆29Updated 10 months ago
- ☆35Updated 2 years ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆22Updated last year