Research
I am broadly interested in designing and analyzing Privacy-Enhancing Technologies (PETs), which often overlaps with some aspect of cybersecurity. More particularly, my research studies techniques to quantify the privacy leakage of various systems and designs defenses to limit this leakage. I have written this informal page to help interested students understand what I do. For more technical descriptions, please check my papers.
Research topics
Click on a topic below to read an informal description of it and see the related publications.
Privacy-Preserving Searchable Encryption
Searching over encrypted data in the cloud, what the leakage reveals, and how to build schemes that leak less.
Machine Learning Privacy
What models memorize about their training data, how to measure that leakage, and how to limit it.
Anonymous Communications
Hiding who talks to whom: quantifying the privacy that mixnets and similar systems actually provide.
Location Privacy
How revealing location data is, and how to design mechanisms that trade it away carefully.
Besides this, I would be open to explore other privacy problems where my knowledge can be helpful. Basically: if there is a technology that relies on data collected from people, this data can be privacy-sensitive, and we do not know how to measure or prevent the privacy leakage, then that is potentially a problem I want to work on.
I also like doing work that involves differential privacy in some way!
More
- Publications — the full list of my papers.
- Group — the students I work with, past and present.
- Prospective Students — read this before emailing me.