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Differential privacy is a principled approach to sharing insights about groups, without revealing personal data about individuals. In this talk, we will explain what differential privacy is about, provide a high-level intuition of how it works, and explain what kind of problems it can solve. We will then present a case study from our work with the Internal Revenue Service, to provide a concrete example of a real-world deployment of this approach. We will then conclude by giving a brief overview of our work towards making it easier for anyone to use and deploy differential privacy.
R. Jason Cronk – Privacy Engineer, Enterprivacy Consulting Group
R. Jason Cronk is the author of Strategic Privacy by Design, one of the textbooks for the IAPP's privacy technologist certification (CIPT). He was designated in 2014 as a privacy by design ambassador by the Ontario Information and Privacy Commissioner's office and has been a leading figure in privacy by design and privacy engineering ever since. Currently he works as a consultant and trainer for a boutique firm Enterprivacy Consulting Group. He can be found tweeting @privacymaverick
Damien Desfontaines – Senior Scientist, Tumult Labs
Damien Desfontains is a senior scientist at Tumult Labs, a startup focusing on differential privacy. Before that, he was leading the anonymization consulting team at Google. In 2020, he defended my PhD thesis at ETH Zürich, where worked on part-time in the Information Security Group, under the supervision of David Basin. Previously, he studied at the École normale supérieure, where he completed a Master's degree in mathematical logic and theoretical computer science called the LMFI.
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