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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SoK: A Proposal for Incorporating Gamified Cybersecurity Awareness in...

June De La Cruz (INSPIRIT Lab, University of Denver), Sanchari Das (INSPIRIT Lab, University of Denver)

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Kronos: A Secure and Generic Sharding Blockchain Consensus with...

Yizhong Liu (Beihang University), Andi Liu (Beihang University), Yuan Lu (Institute of Software Chinese Academy of Sciences), Zhuocheng Pan (Beihang University), Yinuo Li (Xi’an Jiaotong University), Jianwei Liu (Beihang University), Song Bian (Beihang University), Mauro Conti (University of Padua)

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What Makes Phishing Simulation Campaigns (Un)Acceptable? A Vignette Experiment

Jasmin Schwab (German Aerospace Center (DLR)), Alexander Nussbaum (University of the Bundeswehr Munich), Anastasia Sergeeva (University of Luxembourg), Florian Alt (University of the Bundeswehr Munich and Ludwig Maximilian University of Munich), and Verena Distler (Aalto University)

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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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