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
D C
David Cash University of Chicago
K C
Kamalika Chaudhuri University of California, San Diego
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
Y P
Yuriy Polyakov Duality Technologies
M R
Mariana Raykova Google
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

Schedule

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Monday, February 7, 2022
Daily Theme: Homomorphic Encryption

Chair: Vinod Vaikuntanathan

14:00-14:10 CST
Introduction to the Workshop

Speaker: Jung Hee Cheon, Kristin Lauter, and Vinod Vaikuntanathan

14:10-14:40 CST
Latest Progress in Functional Bootstrapping

Speaker: Yuriy Polyakov (Duality Technologies)

14:50-15:20 CST
A Fast and Programmable Accelerator for Fully Homomorphic Encryption

Speaker: Daniel Sanchez (MIT)

15:30-16:00 CST
Challenges and Opportunities in Accelerating Bootstrappable FHE

Speaker: Jung Ho Ahn (Seoul National University)

16:00-16:30 CST
Fully Homomorphic Encryption’s Memory Problem

Speaker: Chiraag Juvekar (Analog Devices Inc)

16:30-17:00 CST
Practical Non-interactive PVSS with Thousands of Parties

Speaker: Shai Halevi (Algorand Foundation)

17:10-17:40 CST
Speakers’ Panel
18:30-20:30 CST
Student Program
Tuesday, February 8, 2022
Daily Theme: Adversarial Machine Learning

Chair: TBA

14:00-14:40 CST
Experiences on Deploying a Photo Cloaking Privacy Tool

Speaker: Heather Zheng (University of Chicago)

14:50-15:20 CST
Learning to Live With ReLU

Speaker: Brandon Reagen (New York University)

15:30-16:00 CST
Hardware Architectures for Homomorphic Encryption: A Customer’s Perspective

Speaker: Wei Dai (Microsoft Research)

16:00-16:30 CST
Optimizing Homomorphic Evaluation Circuits by Program Synthesis and Term Rewriting

Speaker: Kwangkeun Yi (Seoul National University)

16:30-17:00 CST
Speakers’ Panel
18:30-20:30 CST
Student Program
Wednesday, February 9, 2022
Daily Theme: Biomedical Applications

Chair: Kristin Lauter

14:00-14:40 CST
A community effort to assess and promote of privacy preserving techniques for human genomes

Speaker: Xiaoqian Jiang (University of Texas Health Science Center and Texas Heart Institute)

14:50-15:20 CST
Secure and Federated Genomic Analysis

Speaker: Hoon Cho (Broad Institute)

15:30-16:00 CST
GDPR-compliant ML on siloed medical datasets

Speaker: Jean-Pierre Hubaux (EPFL)

16:00-16:30 CST
Ensuring genome privacy in predictive modeling

Speaker: Gamze Gursoy (Columbia University)

16:30-17:00 CST
Secure and differential private Bayesian learning on distributed biomedical data

Speaker: Miran Kim (Ulsan National Institute of Science and Technology)

17:00-17:30 CST
Speakers’ Panel
18:30-20:30 CST
Student Program
Thursday, February 10, 2022
Daily Theme: Emerging Applications in Statistics, Economics, Manufacturing, and Language

Chair: Jung Hee Cheon

14:00-14:40 CST
Hub and Spokes Model for Governmental Statistics

Speaker: Keunkwan Ryu (Seoul National University)

14:50-15:20 CST
Homomorphic Encryption meets Smart Manufacturing

Speaker: Brian Anthony (MIT)

15:30-16:00 CST
Private Set Intersection from Fully Homomorphic Encryption

Speaker: Kim Laine (Microsoft Research)

16:00-16:30 CST
Private AI for BERT-based NLP

Speaker: Seung-won Hwang (Seoul National University)

16:30-17:00 CST
Speakers’ Panel
18:30-20:30 CST
Student Program
Friday, February 11, 2022
Daily Theme: Privacy Preserving Technologies

Chair: Organizers

14:00-14:40 CST
Privacy Preserving Analytics

Speaker: Mariana Raykova (Google)

14:50-15:20 CST
CrypTen: Secure multi-party computation meets machine learning

Speaker: Laurens van der Maaten (Facebook)

15:30-16:00 CST
Case Studies in Inferential Privacy: Frameworks and Algorithms

Speaker: Kamalika Chaudhuri (University of California, San Diego)

16:00-16:30 CST
Searching Encrypted Data with Size-Locked Indexes

Speaker: David Cash (University of Chicago)

16:30-17:00 CST
Speakers’ Panel
18:30-20:30 CST
Student Program

Videos

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Latest Progress in Functional Bootstrapping

Yuriy Polyakov
February 7, 2022

A Fast and Programmable Accelerator for Fully Homomorphic Encryption

Daniel Sanchez
February 7, 2022

Challenges and Opportunities in Accelerating Bootstrappable FHE

Jung Ho Ahn
February 7, 2022

Fully Homomorphic Encryption’s Memory Problem

Chiraag Juvekar
February 7, 2022

Practical Non-interactive PVSS with Thousands of Parties

Shai Halevi
February 7, 2022

Speakers’ Panel: Homomorphic Encryption


February 7, 2022

Experiences on Deploying a Photo Cloaking Privacy Tool

Heather Zheng
February 8, 2022

Learning to Live With ReLU

Brandon Reagen
February 8, 2022

Hardware Architectures for Homomorphic Encryption: A Customer’s Perspective

Wei Dai
February 8, 2022

Speakers’ Panel: Adversarial Machine Learning


February 8, 2022

A community effort to assess and promote of privacy preserving techniques for human genomes

Xiaoqian Jiang
February 9, 2022

Secure and Federated Genomic Analysis

Hoon Cho
February 9, 2022

GDPR-compliant ML on siloed medical datasets

Jean-Pierre Hubaux
February 9, 2022

Ensuring genome privacy in predictive modeling

Gamze Gursoy
February 9, 2022

Secure and differential private Bayesian learning on distributed biomedical data

Miran Kim
February 9, 2022

Speakers’ Panel: Biomedical Applications


February 9, 2022

Hub and Spokes Model for Governmental Statistics

Keunkwan Ryu
February 10, 2022

Homomorphic Encryption meets Smart Manufacturing

Brian Anthony
February 10, 2022

Private Set Intersection from Fully Homomorphic Encryption

Kim Laine
February 10, 2022

Case Studies in Inferential Privacy: Frameworks and Algorithms

Kamalika Chaudhuri
February 11, 2022

Searching Encrypted Data with Size-Locked Indexes

David Cash
February 11, 2022