Symposium on Information-Theoretic Methods for Privacy

Mar 14, 2019 to Mar 15, 2019

Click on the titles of individual talks for abstract, slides and archived video.

Thursday, March 14th, 2019
8:30 am–9:00 am		Coffee and Check-In
9:00 am–9:10 am		Introduction & Motivation Lalitha Sankar (Arizona State University)
9:10 am–10:10 am		Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part I) Aaron Wagner (Cornell University)
10:10 am–10:25 am		Break
10:25 am–11:25 am		Unifying IT Leakage Measures via the Lens of Adversarial Learning Lalitha Sankar (Arizona State University)
11:25 am–1:30 pm		Lunch
1:30 pm–2:15 pm		Fairness: IT Approaches Flavio du Pin Calmon (Harvard University)
2:15 pm–2:30 pm		Break
2:30 pm–3:15 pm		Generative Adversarial Models for Privacy and Fairness Peter Kairouz (Google AI)

Friday, March 15th, 2019
8:30 am–9:00 am		Coffee and Check-In
9:00 am–9:40 am		New Case-Studies in Inferential and Differential Privacy Kamalika Choudhari (UCSD)
9:40 am–10:20 am		Information Bottleneck and Privacy Funnel: IT Lens on Privacy-Utility Tradeoff (PUT) Problems Flavio du Pin Calmon (Harvard University)
10:20 am–10:35 am		Break
10:35 am–11:05 am		Evaluating Privacy and Fairness Schemes via Adversarial Threat Models Peter Kairouz (Google AI)
11:35 am–1:00 pm		Lunch
1:00 pm–2:00 pm		Discussion/Q&A
1:30 pm–2:00 pm		Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part II) Aaron Wagner (Cornell University)
2:00 pm–2:35 pm		Mechanism Design: Sample Complexity and Loss Functions Lalitha Sankar (Arizona State University)