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

Submitted by Michael Tschantz on Wed, 07/10/2019 - 11:58pm

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

Y. Shvartzshnaider, Z. Pavlinovic, A. Balashankar, T. Wies, L. Subramanian, H. Nissenbaum and P. Mittal (2019) "VACCINE: Using Contextual Integrity For Data Leakage Detection," Proceedings of the 2019 International World Wide Web (WWW) Conference.

H. Nissenbaum (2019) "Contextual Integrity Up and Down the Data Food Chain," Theoretical Inquiries in Law 20:1, 221-256.

KEY HIGHLIGHTS

Michael Tschantz (ICSI) and Helen Nissenbaum (Cornell Tech) have iterated on a model of context in a formal representation similar to an MDP. The new model is more flexible for accommodating disagreements about the state of a system by adding a layer of interpreted predicates between norms and states.

Their work surfaced that the notion of norms found in the theory of contextual integrity is difficult to precisely pin down. They will look more closely at the process that legitimates norms in hopes of providing an operational definition for at least legitimate ones.

Their work on sub-contexts has found that a similar concept of sub-goals may be conceptually primary. They are working toward a model of this prerequisite.

COMMUNITY ENGAGEMENTS

"What We Can Learn from AdNauseam About the Threat and Power of Data Obfuscation, and Efforts to Suppress It," Digital Democracies: Artificial Publics, Just Infrastructures, Ethical Learning, Simon Fraser University, Vancouver, May 2019.

EDUCATIONAL ADVANCES:

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