Policy-Governed Secure Collaboration

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Visible to the public Scalable Privacy Analysis

One major shortcoming of the current "notice and consent" privacy framework is that the constraints for data usage stated in policies--be they stated privacy practices, regulation, or laws--cannot easily be compared against the technologies that they govern. To that end, we are developing a framework to automatically compare policy against practice. Broadly, this involves identifying the relevant data usage policies and practices in a given domain, then measuring the real-world exchanges of data restricted by those rules.

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Visible to the public Reasoning about Accidental and Malicious Misuse via Formal Methods

This project seeks to aid security analysts in identifying and protecting against accidental and malicious actions by users or software through automated reasoning on unified representations of user expectations and software implementation to identify misuses sensitive to usage and machine context.

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Visible to the public Contextual Integrity for Computer Systems

Despite the success of Contextual Integrity (see project "Operationalizing Contextual Integrity"), its uptake by computer scientists has been limited due to the philosophical framework not meeting them on their terms. In this project we will both refine Contextual Integrity (CI) to better fit the problems computer scientists face and to express it in the mathematical terms they expect.