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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.
David Wagner. Professor Carl J. Penther Chair in Engineering Computer Science Division University of California, Berkeley. Research interests. Computer security. I am currently working on security for AI (particularly security for large language models), AI for security, and other topics in computer security.
David Wagner 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.
David Wagner. Proceeding 2000 IEEE symposium on security and privacy. S&P 2000, 44-55. Proceedings of the 2nd international conference on Embedded networked sensor …. Proceedings of the 18th ACM conference on Computer and communications …. Proceedings of the 10th ACM workshop on artificial intelligence and security ….
May 20, 2017 · Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods. Nicholas Carlini, David Wagner. Neural networks are known to be vulnerable to adversarial examples: inputs that are close to natural inputs but classified incorrectly.
Master's Theses & Technical Reports - David A. Wagner. 5th Year M.S. | M.S. Scaling Part Models: Challenges and Solutions for Robustness on Large Datasets. Nabeel Hingun [2023] Improving the Efficiency of Robust Generative Classifiers. Alan Rosenthal [2021] Model-Agnostic Defense for Lane Detection Against Adversarial Attack. Henry Xu [2021]
Jul 15, 2016 · David Wagner's technical work. Here you may find some of my publications, papers, unpublished manuscripts, and other writings. Comments welcomed. Also available are some of my talks, as well as my posts on cryptography and related issues. Papers. StruQ: Defending Against Prompt Injection with Structured Queries.
