Michael Carl Tschantz

Bio

Michael Carl Tschantz received a Ph.D. from Carnegie Mellon University in 2012 and a Sc.B. from Brown University in 2005, both in Computer Science. Before becoming a researcher at the International Computer Science Institute in 2014, he did two years of postdoctoral research at the University of California, Berkeley. He uses the models of artificial intelligence and statistics to solve the problems of privacy and security. His interests also 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

• List
• CV

Projects

• Accountable Information Use
• The Science of Censorship Circumvention
• Information Flow Experiments (AdFisher findings about Google)
• Purpose Restrictions on Information Usage

Events

• The 8th USENIX Workshop on Free and Open Communications on the Internet (FOCI 2018);
• The 31st IEEE Computer Security Foundations Symposium (CSF 2018);
• The Conference on Fairness, Accountability, and Transparency (FAT* 2018);
• The Web Conference (WWW 2018);
• The 18th Privacy Enhancing Technologies Symposium (PETS 2018).