Beyond Differential Privacy

Program

Data Privacy: Foundations and Applications

Location

Calvin Lab auditorium

Date

Monday, May 6 – Friday, May 10, 2019

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

9 – 9:20 a.m.

Coffee and Check-in

9:20 – 9:30 a.m.

Opening Remarks

9:30 – 10:15 a.m.

Societal Concerns in Targeted Advertising

Aleksandra Korolova (University of Southern California)

10:15 – 10:30 a.m.

Questions/Discussion

10:30 – 11 a.m.

Break

11 – 11:30 a.m.

Getting AI to Forget About You: Data Deletion From Machine Learning Models

James Zou (Stanford University)

11:30 a.m. – 12 p.m.

Optimal Privacy-Constrained Mechanisms

Xiaosheng Mu (Columbia University and Cowles Foundation)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Checks and Balances in Governance by AI

Niva Elkin-Koren (University of Haifa)

2:45 – 3 p.m.

Questions/Discussion

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

4:30 – 5:30 p.m.

Opening Reception

9 – 9:30 a.m.

Coffee and Check-in

9:30 – 10:15 a.m.

Algorithm Design and Law: Potential and Challenges

Inbal Talgam-Cohen (Technion)

10:15 – 10:30 a.m.

Questions/Discussion

10:30 – 11 a.m.

Break

11 – 11:30 a.m.

Preference Informed Fairness

Gal Yona (Weizmann Institute)

11:30 a.m. – 12 p.m.

Tracking and Improving Information in the Service of Fairness

Michael Kim (Stanford University)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Privacy Dependencies

Solon Barocas (Microsoft Research)

2:45 – 3 p.m.

Questions/Discussion

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Walking Working Groups

9 – 9:30 a.m.

Coffee and Check-in

9:30 – 10:15 a.m.

Unwanted Learning: What It Is, Why It Matters, and What To Do About It

Vitaly Shmatikov (Cornell Tech)

10:15 – 10:30 a.m.

Questions/Discussion

10:30 – 11 a.m.

Break

11 – 11:30 a.m.

Beyond Software: Hardware-Based Security

Ilya Mironov (Google Brain)

11:30 a.m. – 12 p.m.

Gaussian Differential Privacy (GDP)

Jinshuo Dong (University of Pennsylvania)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Protective Optimization Technologies

Seda Guerses (Catholic University of Leuven)

2:45 – 3 p.m.

Questions/Discussion

3 – 3:30 p.m.

Break

3:30 – 4 p.m.

Metric Learning for Individual Fairness

Christina Ilvento (Harvard University)

9 – 9:30 a.m.

Coffee and Check-in

9:30 – 10:15 a.m.

Making Data Great Again

Julia Lane (NYU)

10:15 – 10:30 a.m.

Questions/Discussion

10:30 – 11 a.m.

Break

11 – 11:30 a.m.

Contextual Online False Discovery Rate Control

Shiva Kasiviswanathan (Amazon)

11:30 a.m. – 12 p.m.

Viability of a Privacy-differentiated Market for Free Online Services

Lalitha Sankar (Arizona State University)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Strategic Goals and Mechanisms of the GDPR and CCPA

Chris Hoofnagle (UC Berkeley)

2:45 – 3 p.m.

Questions/Discussion

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

9 – 9:30 a.m.

Coffee and Check-in

9:30 – 10:15 a.m.

Assumptions of Computer Science Interacting with Assumptions of Text-driven Normativities

Mireille Hildebrandt (Vrije Universiteit Brussel)

10:15 – 10:30 a.m.

Questions/Discussion

10:30 – 11 a.m.

Break

11 – 11:30 a.m.

On Valuing and Procuring Private Data

Bo Waggoner (Microsoft Research)

11:30 a.m. – 12 p.m.

Individual Statistical Fairness

Aaron Roth (University of Pennsylvania)

12 – 2 p.m.

Lunch

2 – 2:45 p.m.

Accountability in Computing

Rebecca Wright (Barnard College and Rutgers University)

2:45 – 3 p.m.

Questions/Discussion

3 – 3:30 p.m.

Break