alinlab / consistency-adversarial
Consistency Regularization for Adversarial Robustness (AAAI 2022)
☆52Updated 2 years ago
Related projects: ⓘ
- Implementation of "Adversarial purification with Score-based generative models", ICML 2021☆28Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆45Updated 2 years ago
- ☆28Updated 2 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆57Updated 5 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- ☆35Updated 3 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆90Updated 2 years ago
- Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)☆33Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆45Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Updated 3 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 2 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆69Updated last year
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆15Updated last year
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆98Updated last year
- ☆10Updated last year
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆26Updated 2 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆43Updated 2 years ago
- CVPR2022☆27Updated 6 months ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆28Updated 3 months ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆89Updated 3 years ago
- ☆32Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆37Updated 3 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆23Updated 4 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Updated last year
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆59Updated last year
- Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)☆10Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆26Updated 9 months ago
- A Self-Consistent Robust Error (ICML 2022)☆66Updated last year
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year