konpanousis / Adversarial-LWTA-AutoAttackLinks
☆12Updated 3 years ago
Alternatives and similar repositories for Adversarial-LWTA-AutoAttack
Users that are interested in Adversarial-LWTA-AutoAttack are comparing it to the libraries listed below
Sorting:
- Data-Efficient Backdoor Attacks☆18Updated 3 years ago
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Updated 2 years ago
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆33Updated 2 years ago
- ☆15Updated 2 years ago
- this is for the ACM MM paper---Backdoor Attack on Crowd Counting☆17Updated 3 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated 2 years ago
- ☆19Updated 2 years ago
- ☆12Updated 3 years ago
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆10Updated last year
- ☆20Updated 8 months ago
- ☆14Updated 3 years ago
- Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.☆16Updated 3 years ago
- ☆37Updated last year
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated 2 years ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Updated last year
- Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons☆15Updated 2 years ago
- official implementation of Towards Robust Model Watermark via Reducing Parametric Vulnerability☆15Updated last year
- ☆14Updated 2 years ago
- ☆12Updated 10 months ago
- SEAT☆21Updated 2 years ago
- ☆12Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 3 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆29Updated 11 months ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- [BMVC 2023] Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning☆17Updated 2 years ago