David Evans (https://www.cs.virginia.edu/evans/) is a Professor of Computer Science at the University of Virginia where he leads research on security and privacy with a recent focus on adversarial machine learning and inference risks in machine learning. He is the author of an open computer science textbook (https://computingbook.org) and a children's book on combinatorics and computability (https://dori-mic.org) and co-author of a book on secure computation (https://securecomputation.org/) which is now available in Chinese. He won the Outstanding Faculty Award from the State Council of Higher Education for Virginia, and is Program Co-Chair for the 2022 and 2023 IEEE European Symposia on Security and Privacy. He was Program Co-Chair for the 24th ACM Conference on Computer and Communications Security (CCS 2017) and the 30th (2009) and 31st (2010) IEEE Symposia on Security and Privacy, where he initiated the SoK papers (https://oaklandsok.github.io/). He has SB, SM and PhD degrees in Computer Science from MIT and has been a faculty member at the University of Virginia since 1999.
David Evans (http://www.cs.virginia.edu/evans/) is a Professor of Computer Science at the University of Virginia. His research focuses on privacy and security with a recent focus on adversarial machine learning.
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