PKU-ML / DYNACLLinks
[ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
☆18Updated 2 years ago
Alternatives and similar repositories for DYNACL
Users that are interested in DYNACL are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- ☆20Updated 10 months ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Updated 4 years ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset