Getting AI to Do the Unexpected - Exploring LLM Vulnerabilities and Defenses
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a conference talk that delves into the unexpected capabilities of AI and the potential vulnerabilities in Large Language Models (LLMs). Learn about prompt engineering techniques, including zero-shot, few-shot, and chain-of-thought prompting. Discover the OWASP Top 10 LLM vulnerabilities, with a focus on prompt injections, insecure output handling, and sensitive information disclosure. Understand real-world scenarios where these vulnerabilities can be exploited and learn about effective defense strategies. Gain insights into secure practices such as audit logging and see practical demonstrations of these concepts in action. This comprehensive presentation covers essential topics for anyone working with or interested in the security aspects of AI and LLMs.