David Wagner is a Professor of Computer Science in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He earned an A.B. in Mathematics from Princeton and M.S./Ph.D. degrees from UC Berkeley, where he was advised by Eric Brewer. His research interests include computer security, systems security, usable security, and program analysis for security. He is currently working on security for generative AI, software, wearable devices, smartphone security, and other topics in computer security. He has published two books and over 90 peer-reviewed scientific papers. Wagner also served on the committee for the NSA Award for the Best Scientific Cybersecurity Paper, and the editorial boards for CACM Research Highlights and the Journal of Election Technology and Systems (JETS). His paper, "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples" won the best paper award at ICML 2018. He testified before Congress about remote voting security in 2020.