Visible to the public Contextual Integrity for Computer Systems - April 2019Conflict Detection Enabled

Submitted by Michael Tschantz on Wed, 07/10/2019 - 11:54pm

PI(s), Co-PI(s), Researchers: Michael Tschantz (ICSI), Helen Nissenbaum (Cornell Tech)

HARD PROBLEM(S) ADDRESSED
Scalability and Composability, Policy-Governed Secure Collaboration

PUBLICATIONS

KEY HIGHLIGHTS

Michael Tschantz (ICSI) and Helen Nissenbaum (Cornell Tech) worked on their model of context in a formal representation similar to an MDP. They found that the model was not flexible enough for accommodating disagreements about the state of a system.

COMMUNITY ENGAGEMENTS

"What We Can Learn From AdNauseam About the Threat and Power of Data Obfuscation," Simons Institute Theoretically Speaking Series, University of California, Berkeley, Simons Institute for the Theory of Computing, March 2019.

"Applications of Contextual Integrity," Workshop on Data Privacy: Foundations and Applications, University of California, Berkeley, University of California, Berkeley, Simons Institute for the Theory of Computing, March 2019.

"Achieving Meaningful Privacy in Technology and Design," Boot Camp for Data Privacy: Foundations and Applications, University of California, Berkeley, University of California, Berkeley, Simons Institute for the Theory of Computing, January 2019.


EDUCATIONAL ADVANCES:

Groups: