A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models

Understand

Ensuring the security of large language models (LLMs) is an ongoing challenge despite their widespread popularity.

• Developers work to enhance LLMs security, but vulnerabilities persist, even in advanced versions like GPT-4.
• Attackers exploit these weaknesses, highlighting the need for proactive cybersecurity measures in AI model development.
• This article explores two attack categories: attacks on models themselves and attacks on model applications.