PKU-ML / DYNACL
[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
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆44Updated 3 years ago
- ☆18Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- ☆11Updated last year
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆30Updated 5 months ago
- ☆29Updated 3 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- ☆30Updated 7 months ago
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆14Updated 2 years ago
- Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023☆13Updated last year
- ☆40Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆19Updated 5 months ago
- SEAT☆20Updated last year
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆10Updated 2 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆24Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- ☆18Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆49Updated 10 months ago
- ☆13Updated 2 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆18Updated 10 months ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆46Updated 10 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆44Updated 2 months ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 3 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 3 months ago