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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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Workshop & Symposia
Schedule | Beyond Differential Privacy
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The Workshop
Schedule
Videos
Click on the titles of individual talks for abstract, slides and archived video.
Monday, May 6, 2019
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)
Video
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)
Video
11:30 a.m.
–
12 p.m.
Optimal Privacy-Constrained Mechanisms
Xiaosheng Mu (Columbia University and Cowles Foundation)
Video
12
–
2 p.m.
Lunch
2
–
2:45 p.m.
Checks and Balances in Governance by AI
Niva Elkin-Koren (University of Haifa)
Video
2:45
–
3 p.m.
Questions/Discussion
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
Unbaked Ideas
4:30
–
5:30 p.m.
Opening Reception
Tuesday, May 7, 2019
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)
Video
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)
Video
11:30 a.m.
–
12 p.m.
Tracking and Improving Information in the Service of Fairness
Michael Kim (Stanford University)
Video
12
–
2 p.m.
Lunch
2
–
2:45 p.m.
Privacy Dependencies
Solon Barocas (Microsoft Research)
Video
2:45
–
3 p.m.
Questions/Discussion
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
Walking Working Groups
Wednesday, May 8, 2019
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)
Video
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)
Video
11:30 a.m.
–
12 p.m.
Gaussian Differential Privacy (GDP)
Jinshuo Dong (University of Pennsylvania)
Video
12
–
2 p.m.
Lunch
2
–
2:45 p.m.
Protective Optimization Technologies
Seda Guerses (Catholic University of Leuven)
Video
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)
Video
Thursday, May 9, 2019
9
–
9:30 a.m.
Coffee and Check-in
9:30
–
10:15 a.m.
Making Data Great Again
Julia Lane (NYU)
Video
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)
Video
11:30 a.m.
–
12 p.m.
Viability of a Privacy-differentiated Market for Free Online Services
Lalitha Sankar (Arizona State University)
Video
12
–
2 p.m.
Lunch
2
–
2:45 p.m.
Strategic Goals and Mechanisms of the GDPR and CCPA
Chris Hoofnagle (UC Berkeley)
Video
2:45
–
3 p.m.
Questions/Discussion
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
Unbaked Ideas
Friday, May 10, 2019
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)
Video
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)
Video
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)
Video
2:45
–
3 p.m.
Questions/Discussion
3
–
3:30 p.m.
Break
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