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:
- ☆20Updated 6 months ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆44Updated 4 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 10 months ago
- ☆14Updated 3 years ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆33Updated 2 years ago
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆16Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated last year
- ☆59Updated 2 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆46Updated 3 years ago
- SEAT☆21Updated 2 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- ☆43Updated 2 years ago
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆10Updated 11 months ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆34Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆35Updated 5 months ago
- ☆38Updated last year
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Data-Efficient Backdoor Attacks☆18Updated 3 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 5 years ago
- ☆53Updated 2 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated last year
- ☆21Updated 3 years ago
- Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"☆27Updated 5 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago