Differential Privacy Beyond Algorithm: Challenges for Deployment

Explore a comprehensive DEF CON conference talk that delves into the practical challenges of implementing differential privacy (DP) in real-world applications. Learn about the mathematical foundations of DP as the gold standard for privacy-preserving data analysis, providing rigorous bounds on information leakage from computational outputs. Discover how DP algorithms have evolved over two decades to enable accurate analysis of sensitive data across various domains. Examine high-profile DP system deployments by major tech companies and government entities, while understanding critical implementation hurdles that remain. Address key challenges including mapping mathematical privacy guarantees to real-world threat protection, developing non-technical explanations of DP concepts, integrating with existing privacy and security tools, and preventing system misuse. Gain valuable insights into the future of privacy-preserving computation and the steps needed to make DP more accessible for practical deployment.