JailbreakRadar
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About
JailbreakRadar provides a comprehensive assessment framework designed to analyze various types of jailbreak attacks targeting Large Language Models (LLMs). This tool contributes to enhancing the security and trustworthiness of LLMs by identifying and evaluating their vulnerabilities to adversarial prompts. The research behind JailbreakRadar was accepted for presentation at ACL 2025, highlighting its significance in understanding and mitigating long-term threats to LLM safety and privacy from an adversarial perspective. It focuses on worst-case behaviors of deep learning systems to build robust defenses.
Platform
Task
Features
• security threat identification
• adversarial prompt evaluation
• llm vulnerability analysis
• comprehensive jailbreak assessment
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