Building an Automated Machine for Discovering Privacy Violations at Scale

Explore a 17-minute conference talk from USENIX Enigma 2023 that delves into the development of automated systems for detecting privacy violations at scale. Learn how modern technology has evolved to collect vast amounts of personal data, often without user awareness, and discover the importance of privacy regulations in addressing this issue. Gain insights into how static analysis techniques like taint tracking and dataflow analysis can be applied to large codebases to identify and fix privacy leaks at their source. Understand the challenges faced in building such tools and acquire knowledge on how developers and privacy engineers can effectively address privacy bugs in code. This presentation by Suchakra Sharma from Privado Inc. offers valuable information for those interested in privacy protection, software development, and regulatory compliance in the digital age.