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Explore critical security vulnerabilities in Large Language Models (LLMs) through this 15-minute conference talk from Security BSides London. Gain insights into various cyber threats affecting LLMs, including injection techniques, client-side attacks like Cross-Site Scripting (XSS), HTML injection, and Denial of Service (DoS) attacks. Learn how different pre-trained models such as GPT-3.5 Turbo and GPT-4 respond to various attack vectors through simulated demonstrations. Understand the significant implications of these vulnerabilities in corporate environments, where exploitation can result in system disruptions, unauthorized access, data breaches, and compromised integrity. Discover essential knowledge about securing AI technologies and maintaining the reliability of LLM outputs while protecting sensitive information in an era of increasing AI adoption across industries.
