Atoxia introduces a targeted red-teaming methodology that deliberately probes LLMs to generate toxic content, enhancing our understanding of safety vulnerabilities.

• Develops specific prompting strategies to test LLM susceptibility to generating harmful outputs
• Identifies critical security gaps in current safety measures
• Provides a framework for evaluating and improving content moderation systems
• Demonstrates practical techniques for discovering jailbreaking vulnerabilities

This research is crucial for Security teams working to deploy LLMs safely in production environments, offering a systematic approach to identifying and addressing safety risks before deployment.

Atoxia: Red-teaming Large Language Models with Target Toxic Answers