
معرفی
David Evans is a Professor of Computer Science at the University of Virginia, affiliated with the School of Engineering and Applied Science. His research focuses on the trustworthiness of machine learning, including privacy, security, fairness, and censorship. He co-teaches a joint Computer Science and Law course and has pioneered work in secure multi-party computation. Evans has won numerous teaching awards, including the Harold Morton Jr. SEAS Award (2003-4) and the Outstanding Faculty Award (2009). He is a co-author of influential textbooks like A Pragmatic Introduction to Secure Multi-Party Computation and Introduction to Computing.
Education and Background: Evans earned his PhD, SM, and SB degrees from MIT. His academic genealogy traces back to Gottfried Wilhelm Leibniz.
Research Interests: Evans leads the Security Research Group, focusing on adversarial machine learning, cryptography, and privacy-preserving technologies. His work includes developing defenses against adversarial examples, membership inference attacks, and secure protocols for distributed learning. He collaborates with institutions like the NSF Frontier Center for Trustworthy Machine Learning and the NSF AI Institute for Agent-based Cyber Threat Intelligence.
Teaching and Outreach: Evans advocates for open education, making teaching materials freely available. He developed Udacity’s cs101: Building a Search Engine and cs387: Applied Cryptography, which have enrolled hundreds of thousands of students. His courses at UVA include Computational Biology, Theory of Computation, and Discrete Mathematics.
Grants and Funding: His research is primarily funded by the National Science Foundation, with additional support from Lockheed Martin, Oracle, Google, and Microsoft. He leads projects exploring secure computation, privacy-preserving AI, and robust machine learning systems.
Labs and Teams: Evans’ group is part of the NSF Frontier Center and the AI Institute for Cyber Threat Intelligence. His team includes graduate and undergraduate students working on cutting-edge problems in security and privacy.



