gq-max / AdvDiffVLMLinks
☆39Updated 5 months ago
Alternatives and similar repositories for AdvDiffVLM
Users that are interested in AdvDiffVLM are comparing it to the libraries listed below
Sorting:
- [CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks☆16Updated 3 months ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆27Updated 2 years ago
- ☆78Updated last year
- ☆40Updated 11 months ago
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆64Updated 2 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆47Updated last month
- AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models (ICCV 2023)☆19Updated 2 years ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆64Updated 2 years ago
- [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajector…☆28Updated 9 months ago
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆41Updated last year
- [ICML 2025] X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP☆29Updated 2 months ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆57Updated 5 months ago
- ☆27Updated 2 years ago
- A collection of resources on attacks and defenses targeting text-to-image diffusion models☆73Updated 5 months ago
- ☆29Updated last year
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆111Updated 3 years ago
- An unrestricted attack based on diffusion models that can achieve both good transferability and imperceptibility.☆226Updated 10 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
- [NeurIPS 2023] Content-based Unrestricted Adversarial Attack☆28Updated last month
- Divide-and-Conquer Attack: Harnessing the Power of LLM to Bypass the Censorship of Text-to-Image Generation Mode☆18Updated 7 months ago
- Official codes for FPR (Accepted by CVPR2025)☆11Updated 5 months ago
- The code for ACM MM2024 (Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning)☆13Updated last year
- [NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability☆110Updated last year
- [MM'23 Oral] "Text-to-image diffusion models can be easily backdoored through multimodal data poisoning"☆31Updated last month
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…☆24Updated 2 months ago
- [CVPR2023]Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition☆41Updated 2 years ago
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆25Updated last year
- (AAAI 24) Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models☆11Updated 11 months ago
- Cross-Modal Transferable Adversarial Attacks from Images to Videos (CVPR 2022)☆20Updated last year