OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation
Published:Dec 6, 2025 22:56
•1 min read
•ArXiv
Analysis
This article introduces a new benchmark and toolbox, OmniSafeBench-MM, designed for evaluating multimodal jailbreak attacks and defenses. This is a significant contribution to the field of AI safety, as it provides a standardized way to assess the robustness of multimodal models against malicious prompts. The focus on multimodal models is particularly important given the increasing prevalence of these models in various applications. The development of such a benchmark will likely accelerate research in this area and lead to more secure and reliable AI systems.
Key Takeaways
- •Introduces OmniSafeBench-MM, a unified benchmark and toolbox.
- •Focuses on evaluating multimodal jailbreak attacks and defenses.
- •Aims to improve the safety and reliability of AI systems.
- •Provides a standardized way to assess model robustness.
Reference
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