This is a Plain English Papers summary of a research paper called JailDAM: Adaptive AI Defense Stops Evolving VLM Jailbreaks (73.8% Accuracy). If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- JailDAM is a system to detect jailbreak attempts against Vision-Language Models (VLMs)
- Uses an adaptive memory approach to detect evolving jailbreak attacks
- Achieves 73.8% average accuracy across multiple VLMs
- Successfully detects both text-based and multimodal jailbreak attacks
- First framework that adapts to new jailbreak patterns during deployment
Plain English Explanation
Vision-Language Models (VLMs) like those behind ChatGPT with image capabilities have become incredibly useful, but they're vulnerable to "jailbreak" attacks - attempts to make them produce harmful or unethical content. These attacks keep evolving, making them difficult to detec...
