Peter Kairouz is a researcher interested in machine learning, security, and privacy. At Google, he is a Research Scientist working on decentralized and privacy-preserving machine learning algorithms. Prior to Google, his doctoral and postdoctoral research have largely focused on building decentralized technologies for anonymous broadcasting over complex networks, understanding the fundamental trade-off between data privacy and utility, and leveraging state-of-the-art deep generative models for data-driven privacy. You can learn more about his background and research by visiting his Stanford webpage. His Google publications are listed below.