ShawnXYang / C-GSPLinks
☆13Updated 2 years ago
Alternatives and similar repositories for C-GSP
Users that are interested in C-GSP are comparing it to the libraries listed below
Sorting:
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆30Updated 3 months ago
- ☆35Updated 11 months ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Updated 2 years ago
- ☆21Updated 3 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 8 months ago
- ☆23Updated 2 years ago
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆11Updated last year
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆17Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆25Updated last year
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆32Updated 3 years ago
- [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models☆22Updated last year
- SEAT☆20Updated last year
- ☆41Updated last year
- ☆42Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆54Updated last year
- ☆35Updated 2 years ago
- [CVPR 2022 oral] Subspace Adversarial Training☆26Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆40Updated 3 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆20Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- ☆18Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆23Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆35Updated 2 years ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- [BMVC 2023] Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning☆15Updated last year