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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On the Robustness of LDP Protocols for Numerical Attributes...

Xiaoguang Li (Xidian University, Purdue University), Zitao Li (Alibaba Group (U.S.) Inc.), Ninghui Li (Purdue University), Wenhai Sun (Purdue University, West Lafayette, USA)

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MALintent: Coverage Guided Intent Fuzzing Framework for Android

Ammar Askar (Georgia Institute of Technology), Fabian Fleischer (Georgia Institute of Technology), Christopher Kruegel (University of California, Santa Barbara), Giovanni Vigna (University of California, Santa Barbara), Taesoo Kim (Georgia Institute of Technology)

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LeakLess: Selective Data Protection against Memory Leakage Attacks for...

Maryam Rostamipoor (Stony Brook University), Seyedhamed Ghavamnia (University of Connecticut), Michalis Polychronakis (Stony Brook University)

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URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning

Duanyi Yao (Hong Kong University of Science and Technology), Songze Li (Southeast University), Xueluan Gong (Wuhan University), Sizai Hou (Hong Kong University of Science and Technology), Gaoning Pan (Hangzhou Dianzi University)

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