Dr. Vaibhav Garg is an Award Winning Executive who currently works as the Executive Director of Cybersecurity & Privacy Research and Public Policy Research at Comcast Cable. He has a PhD in Security Informatics from Indiana University and a M.S. in Information Security from Purdue University. He has more than 15 years of industry experience in domains that span Tech Policy, Cybersecurity, Privacy, AI, and Economics. He has co-authored over thirty peer reviewed publications and received the best paper award at the 2011 eCrime Researcher's Summit for his work on the economics of cybercrime. He previously served as the Editor in Chief of ACM Computers & Society, where he received the ACM SIGCAS Outstanding Service Award.

Dr. Garg currently serves as the Working Group Lead for the President’s National Security and Telecommunication’s Advisory Committee’s workstream on Post-Quantum Cryptography. He served as the Vice Chair for Consumer Technology Association’s WG on Cybersecurity and Privacy. He is the Co-Chair for Communication Sector Coordinating Council’s Emerging Technology Committee. His projects and papers have been referenced by the National Institute of Standards and Technology, Organization for Economic Co-operation and Development, National Security and Telecommunication’s Advisory Committee, and Financial Sector Information Sharing and Analysis Center. He has previously presented at events like Broadband Breakfast, Usenix Enigma, Usenix PEPR, Telecommunications Policy Research Conference, Hack the Capitol, and State of the Net.

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A Phish Scale: Rating Human Phishing Message Detection Difficulty

Michelle P. Steves, Kristen K. Greene, Mary F. Theofanos (National Institute of Standards and Technology)

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UI-CTX: Understanding UI Behaviors with Code Contexts for Mobile...

Jiawei Li (Beihang University & National University of Singapore), Jiahao Liu (National University of Singapore), Jian Mao (Beihang University), Jun Zeng (National University of Singapore), Zhenkai Liang (National University of Singapore)

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Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication...

Jung-Woo Chang (University of California, San Diego), Ke Sun (University of California, San Diego), Nasimeh Heydaribeni (University of California, San Diego), Seira Hidano (KDDI Research, Inc.), Xinyu Zhang (University of California, San Diego), Farinaz Koushanfar (University of California, San Diego)

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