Michael Carl Tschantz
Senior Researcher
Networking and Security
International Computer Science Institute
United States of America
Biography
Michael Carl Tschantz received an ScB from Brown University in 2005 and a PhD from Carnegie Mellon University in 2012, both in computer science. Before becoming a researcher at ICSI in 2014, he did two years of postdoctoral research at UC Berkeley. He uses the models of artificial intelligence and statistics to solve the problems of privacy and security.
Research Interest
His interests include experimental design, formal methods, and logics. His current research includes automating information flow experiments, circumventing censorship, and securing machine learning. His dissertation formalized and operationalized what it means to use information for a purpose.
Publications
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Tschantz MC, Afroz S, Anonymous, Paxson V. 2016. SoK: Towards Grounding Censorship Circumvention in Empiricism. IEEE Symposium on Security and Privacy.
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Miller B, Kantchelian A, Tschantz MC, Afroz S, Bachwani R, Faizullabhoy R, Huang L, Shankar V, Wu T, Yiu G. 2016. Reviewer Integration and Performance Measurement for Malware Detection. 13th Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA).
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Singh R, Nithyanand R, Afroz S, Tschantz MCarl, Gill P, Paxson V. In Press. Characterizing the Nature and Dynamics of Tor Exit Blocking.. Proceedings of USENIX Security 2017.
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Plane AC, Redmiles EM, Mazurek ML, Tschantz MCarl. In Press. Assessing user perceptions of online targeted advertising. Proceedings of USENIX Security 2017.
