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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Enhancing Security in Third-Party Library Reuse – Comprehensive Detection...

Shangzhi Xu (The University of New South Wales), Jialiang Dong (The University of New South Wales), Weiting Cai (Delft University of Technology), Juanru Li (Feiyu Tech), Arash Shaghaghi (The University of New South Wales), Nan Sun (The University of New South Wales), Siqi Ma (The University of New South Wales)

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DeFiIntel: A Dataset Bridging On-Chain and Off-Chain Data for...

Iori Suzuki (Graduate School of Environment and Information Sciences, Yokohama National University), Yin Minn Pa Pa (Institute of Advanced Sciences, Yokohama National University), Nguyen Thi Van Anh (Institute of Advanced Sciences, Yokohama National University), Katsunari Yoshioka (Graduate School of Environment and Information Sciences, Yokohama National University)

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Location Data and COVID-19 Contact Tracing: How Data Privacy...

Callie Monroe, Faiza Tazi, Sanchari Das (university of Denver)

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Manifoldchain: Maximizing Blockchain Throughput via Bandwidth-Clustered Sharding

Chunjiang Che (The Hong Kong University of Science and Technology (Guangzhou)), Songze Li (Southeast University), Xuechao Wang (The Hong Kong University of Science and Technology (Guangzhou))

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