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
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Updated 4 years ago
- ☆20Updated 10 months ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆33Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆49Updated last year
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆16Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆46Updated 4 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated 2 years ago
- ☆45Updated 2 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 5 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 3 years ago
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆11Updated last year
- ☆33Updated 3 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- ☆43Updated last year
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆13Updated 2 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆30Updated 2 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆23Updated last year
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated 2 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆37Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆60Updated last year
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Updated 3 years ago
- ☆53Updated 2 years ago
- ☆14Updated 2 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- ☆16Updated 3 years ago
- ☆89Updated 3 years ago
- ☆59Updated 3 years ago