This research provides a comprehensive security analysis of how LLM vulnerabilities evolve and what determines model safety against jailbreak attacks.

• Evaluates the most effective techniques for detecting jailbreak attempts
• Compares security improvements across different model versions
• Investigates robust defense strategies to enhance model protection
• Offers insights on the evolution of security vulnerabilities in modern LLMs

As LLMs power more critical applications, understanding these attack vectors and defense mechanisms is essential for developing trustworthy AI systems that can resist manipulation attempts while maintaining their utility.

Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses