Speaker: Amber Welch

Most of us care about the protection of end users’ personal information, but isn’t this a problem for security and legal teams? How could developers help with privacy? This talk is a developer’s survey of privacy engineering, from foundational principles like privacy by design and the OWASP Top 10 Privacy Risks to advanced techniques such as federated learning and differential privacy in machine learning, as well as upcoming technologies like homomorphic encryption.  Each tool or technique will have an introductory explanation and example use cases with a description of the benefits and limitations. Recommended sources for further learning about each concept will be provided.