Ethical and Secure AI Vulnerability Disclosure - Challenges and Best Practices

Explore a thought-provoking conference talk from DEF CON 32 that examines the critical challenges surrounding vulnerability disclosure in AI systems. Delve into the complex interplay between transparency and security while understanding how data bias exploitation and model manipulation can magnify vulnerability impacts. Through an analysis of real-world examples and recent disclosures, gain valuable insights into responsible vulnerability management practices for AI systems. Learn how the industry can work together to refine disclosure processes, ultimately strengthening AI system integrity and building public confidence in artificial intelligence technologies. In this 31-minute presentation, discover practical approaches for addressing biases and misinformation that often obscure the true nature of AI vulnerabilities.