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David A. Wagner (born 1974) is a professor of computer science at the University of California, Berkeley and a well-known researcher in cryptography and computer security. He is a member of the Election Assistance Commission's Technical Guidelines Development Committee, tasked with assisting the EAC in drafting the Voluntary Voting System Guidelines. He was also a member of the ACCURATE project.

BiographyEdit

Wagner received an A.B. in mathematics from Princeton University in 1995, an M.S. in computer science from Berkeley in 1999, and a Ph.D. in computer science from Berkeley in 2000. He joined the faculty of Berkeley after graduation, became a Full Professor in 2010, and was chair of the Computer Science Department from 2020 to 2022.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> He has received awards for his teaching.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref>

ResearchEdit

Wagner has published two books and over 200 peer-reviewed scientific papers.<ref>{{#invoke:citation/CS1|citation |CitationClass=web }}</ref> His notable achievements include:

  • 2017 Development of the Carlini-Wagner attack on machine learning models (with Nicholas Carlini); used it to break 20 adversarial machine learning defenses.

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External linksEdit

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