Jielin-Qiu / MMWatermark-Robustness
Evaluating Durability: Benchmark Insights into Multimodal Watermarking
☆10Updated 11 months ago
Alternatives and similar repositories for MMWatermark-Robustness
Users that are interested in MMWatermark-Robustness are comparing it to the libraries listed below
Sorting:
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆36Updated last year
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- ☆27Updated last year
- ☆11Updated 5 months ago
- The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"☆36Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆47Updated 4 months ago
- ☆14Updated 2 months ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆15Updated 11 months ago
- Official repository for the paper "Gradient-based Jailbreak Images for Multimodal Fusion Models" (https//arxiv.org/abs/2410.03489)☆17Updated 6 months ago
- Official repo of Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics☆25Updated last month
- ☆42Updated 5 months ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- [ICLR 2025] Official codebase for the ICLR 2025 paper "Multimodal Situational Safety"☆15Updated 2 months ago
- ☆13Updated 3 months ago
- ☆30Updated 2 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated 2 years ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆20Updated 9 months ago
- Respect to the input tensor instead of paramters of NN☆19Updated 2 years ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆48Updated 4 months ago
- ☆20Updated 5 months ago
- Code for "Adversarial Illusions in Multi-Modal Embeddings"☆21Updated 9 months ago
- ☆25Updated 3 months ago
- ☆14Updated 7 months ago
- PDM-based Purifier☆20Updated 6 months ago
- ☆21Updated last month
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆28Updated last year
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆80Updated last year
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆37Updated last year
- ☆16Updated last week