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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Too Subtle to Notice: Investigating Executable Stack Issues in...

Hengkai Ye (The Pennsylvania State University), Hong Hu (The Pennsylvania State University)

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Fuzzing Space Communication Protocols

Stephan Havermans (IMDEA Software Institute), Lars Baumgaertner, Jussi Roberts, Marcus Wallum (European Space Agency), Juan Caballero (IMDEA Software Institute)

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MingledPie: A Cluster Mingling Approach for Mitigating Preference Profiling...

Cheng Zhang (Hunan University), Yang Xu (Hunan University), Jianghao Tan (Hunan University), Jiajie An (Hunan University), Wenqiang Jin (Hunan University)

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Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion...

Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

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