Symposium on Information-Theoretic Methods for Privacy

Program

Data Privacy: Foundations and Applications

Location

Calvin Lab auditorium

Date

Thursday, Mar. 14 – Friday, Mar. 15, 2019

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

8:30 – 9 a.m.

Coffee and Check-In

9 – 9:10 a.m.

Introduction & Motivation

Lalitha Sankar (Arizona State University)

9:10 – 10:10 a.m.

Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part I)

Aaron Wagner (Cornell University)

9:10 – 10:10 a.m.

Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part I)

Aaron Wagner (Cornell University)

10:10 – 10:25 a.m.

Break

10:25 – 11:25 a.m.

Unifying IT Leakage Measures via the Lens of Adversarial Learning

Lalitha Sankar (Arizona State University)

11:25 a.m. – 1:30 p.m.

Lunch

1:30 – 2:15 p.m.

Fairness: IT Approaches

Flavio du Pin Calmon (Harvard University)

2:15 – 2:30 p.m.

Break

2:30 – 3:15 p.m.

Generative Adversarial Models for Privacy and Fairness

Peter Kairouz (Google AI)

8:30 – 9 a.m.

Coffee and Check-In

9 – 9:40 a.m.

New Case-Studies in Inferential and Differential Privacy

Kamalika Chaudhuri (UC San Diego)

9:40 – 10:20 a.m.

Information Bottleneck and Privacy Funnel: IT Lens on Privacy-Utility Tradeoff (PUT) Problems

Flavio du Pin Calmon (Harvard University)

10:20 – 10:35 a.m.

Break

10:35 – 11:05 a.m.

Evaluating Privacy and Fairness Schemes via Adversarial Threat Models

Peter Kairouz (Google AI)

11:35 a.m. – 1 p.m.

Lunch

1 – 2 p.m.

1:30 – 2 p.m.

Operationally Motivating IT Leakage Measures – A Path to Maximal Leakage (Part II)

Aaron Wagner (Cornell University)

2 – 2:35 p.m.

Mechanism Design: Sample Complexity and Loss Functions

Lalitha Sankar (Arizona State University)