ffhibnese / CPGC_VLP_Universal_AttacksLinks
[ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Generator, Generative Attacks.
☆30Updated 4 months ago
Alternatives and similar repositories for CPGC_VLP_Universal_Attacks
Users that are interested in CPGC_VLP_Universal_Attacks are comparing it to the libraries listed below
Sorting:
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆66Updated 2 years ago
- [ICML 2025] X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP☆32Updated 4 months ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆61Updated 7 months ago
- ☆78Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆22Updated last year
- [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajector…☆30Updated this week
- A collection of resources on attacks and defenses targeting text-to-image diffusion models☆80Updated 7 months ago
- [CVPR23W] "A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion" by Haomin Zhuang, Yihua Zhang and Sijia Liu☆26Updated last year
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆58Updated 3 months ago
- ☆27Updated last year
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆63Updated 2 years ago
- [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images☆40Updated last year
- A package that achieves 95%+ transfer attack success rate against GPT-4☆24Updated last year
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆37Updated 6 months ago
- ☆38Updated last year
- ☆27Updated 2 years ago
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆13Updated 2 years ago
- ☆30Updated last year
- ☆54Updated 11 months ago
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆19Updated 2 years ago
- Divide-and-Conquer Attack: Harnessing the Power of LLM to Bypass the Censorship of Text-to-Image Generation Mode☆18Updated 9 months ago
- ☆42Updated 7 months ago
- ☆53Updated last year
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆32Updated last year
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆24Updated last year
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆56Updated 10 months ago
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment☆25Updated 5 months ago
- Universal Adversarial Perturbations for Vision-Language Pre-trained Models☆22Updated 3 months ago
- [MM'23 Oral] "Text-to-image diffusion models can be easily backdoored through multimodal data poisoning"☆32Updated 3 months ago
- ☆106Updated last year