Dr. Patrick Gage Kelley is the Head of Research Strategy for Trust & Safety at Google. He has worked on projects that help us better understand how people think about their data and safety online. These include projects on the use and design of user-friendly privacy displays, passwords, location-sharing, mobile apps, encryption, technology ethics, designing products for people with the most significant digital safety risks, and most recently on people's relationship and understanding of AI. Patrick’s work on redesigning privacy policies in the style of nutrition labels was included in the 2009 Annual Privacy Papers for Policymakers event on Capitol Hill.

Previously, he was a professor of Computer Science at the University of New Mexico and faculty at the UNM ARTSLab and received his Ph.D. from Carnegie Mellon University working with the Mobile Commerce Lab and the CyLab Usable Privacy and Security (CUPS) Lab. He was an early researcher at Wombat Security Technologies, now a part of Proofpoint, and has also been at NYU, Intel Labs, and the National Security Agency.

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What’s Done Is Not What’s Claimed: Detecting and Interpreting...

Chang Yue (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China), Kai Chen (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China), Zhixiu Guo (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China), Jun Dai, Xiaoyan Sun (Department of Computer Science, Worcester Polytechnic Institute), Yi Yang (Institute of Information Engineering, Chinese Academy…

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Explainable AI in Cybersecurity Operations: Lessons Learned from xAI...

Megan Nyre-Yu (Sandia National Laboratories), Elizabeth S. Morris (Sandia National Laboratories), Blake Moss (Sandia National Laboratories), Charles Smutz (Sandia National Laboratories), Michael R. Smith (Sandia National Laboratories)

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Automated Expansion of Privacy Data Taxonomy for Compliant Data...

Yue Qin (Indiana University Bloomington & Central University of Finance and Economics), Yue Xiao (Indiana University Bloomington & IBM Research), Xiaojing Liao (Indiana University Bloomington)

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