Description

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In this workshop we will identify and highlight a range of significant privacy concerns in the practice of AI, and mathematical solutions which can be building blocks for solutions. The workshop will bring together researchers from the fields of cryptography, security, machine learning, programming languages and domain experts from biomedicine, health and finance.

The workshop aims to uncover new problems arising from innovative applications, to identify which technologies are needed to develop new solutions and what are the key barriers and challenges. The workshop will highlight existing techniques and future opportunities.

Organizers

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J H C
Jung Hee Cheon Department of Mathematical Sciences
Seoul National University
K L
Kristin Lauter Facebook AI Research
V V
Vinod Vaikuntanathan MIT

Speakers

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J H A
Jung Ho Ahn Seoul National University
B A
Brian Anthony MIT
H C
Hoon Cho Broad Institute
W D
Wei Dai Microsoft Research
G G
Gamze Gursoy Columbia University
J H
Jean-Pierre Hubaux EPFL
S H
Seung-won Hwang Seoul National University
X J
Xiaoqian Jiang University of Texas Health Science Center and Texas Heart Institute
C J
Chiraag Juvekar Analog Devices Inc
M K
Miran Kim Ulsan National Institute of Science and Technology
K L
Kim Laine Microsoft Research
M R
Mariana Raykova Columbia University
B R
Brandon Reagen New York University
K R
Keunkwan Ryu Seoul National University
D S
Daniel Sanchez MIT
L v d M
Laurens van der Maaten Facebook
K Y
Kwangkeun Yi Seoul National University
H Z
Heather Zheng University of Chicago

Registration

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