Jielin-Qiu / MMWatermark-RobustnessLinks
Evaluating Durability: Benchmark Insights into Multimodal Watermarking
☆12Updated last year
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☆35Updated last year
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆13Updated 2 years ago
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆38Updated last year
- Official Implementation of Avoiding spurious correlations via logit correction☆17Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- Codes for paper "SafeAgentBench: A Benchmark for Safe Task Planning of \\ Embodied LLM Agents"☆51Updated 7 months ago
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- ☆27Updated last year
- ☆25Updated 2 years ago
- ☆15Updated 7 months ago
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last month
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 4 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆33Updated last year
- Certified Patch Robustness via Smoothed Vision Transformers☆42Updated 3 years ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆58Updated last year
- Attack AlphaZero Go agents (NeurIPS 2022)☆21Updated 2 years ago
- ☆46Updated 2 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Updated 3 years ago
- ☆21Updated 11 months ago
- Representation Surgery for Multi-Task Model Merging. ICML, 2024.☆46Updated last year
- [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective☆38Updated last month
- Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.☆10Updated last year
- ☆43Updated 2 years ago
- Code and data for "ImgTrojan: Jailbreaking Vision-Language Models with ONE Image"☆26Updated 6 months ago
- Official repo of Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics☆38Updated 2 months ago
- [ICLR2025 Spotlight] Advantage-Guided Distillation for Preference Alignment in Small Language Models☆22Updated 8 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆83Updated last year
- ☆56Updated 2 weeks ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Updated 4 years ago