Homomorphic Encryption and Privacy Enhancing Technologies Webinar Series

Meeting Details

Join via Zoom at time of the webinar

Privacy technologies have advanced greatly and become not just academic or of theoretical interest but ready to be applied and increasingly practical. A current challenge is how to integrate technologies such as homomorphic encryption (HME) with others such as Differential Privacy (DP), Secure Multiparty Computation (SMC) within a robust ethical and policy framework in practical application to challenging biomedical use cases. Two to three experts in the field of privacy enhancing technologies give 20 minutes presentations about their work relevant to homomorphic encryption and privacy enhancing technologies with 30 minutes of discussion.

Upcoming Events

DateSpeakerTopic
May 17, 2024Lucila Ohno Machado, M.D., M.B.A., Ph.D.

Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science
Deputy Dean for Biomedical Informatics
Chair, Section of Biomedical Informatics and Data Science
Yale University
Privacy Expectations by Patients and Institutions

Latanya Sweeney, Ph.D.

Daniel Paul Professor of the Practice of Government and Technology
Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences

MyDataCan: Changing the Model for Data Privacy
June 14, 2024

Hyunghoon Cho, Ph.D.

Assistant Professor of Biomedical Informatics and Data Science
Yale University

To Be Determined

Bradley Malin, Ph.D.

Accenture Professor Department of Biomedical Informatics
Vice Chair for Research Affairs Department of Biomedical Informatics
Affiliated Faculty Center for Biomedical Ethics & Society
Accenture Professor Department of Biostatistics
Accenture Professor Computer Science at Vanderbilt
Vanderbilt University

Tailoring Privacy Enhancing Technologies to Adversarial Assumptions

Kristin Lauter, Ph.D.

Principal Researcher
Research Manager, Cryptography Group
Microsoft Research

To be determined
June 21, 2024

Ro Cammarota, Ph.D.

Chief Scientist of Privacy-Enhanced Computing Research in the Emerging Security Lab
Intel Labs

Towards interactive to real-time FHE with the Intel HERACLES platform

Li Xiong, Ph.D.

Samuel Candler Dobbs Professor of Computer Science
Assured Information Mangement and Sharing (AIMS) Lab
Department of Computer Science
Department of Biomedical Informatics
Emory University

Harnessing Decentralized Health Data with Federated Learning and Differential Privacy

Abel Kho, Ph.D.

Director of the Institute for Artificial Intelligence in Medicine
Northwestern University Feinberg School of Medicine
 

Real world Use cases and considerations for Privacy Enhancing Technologies
June 28, 2024

Ronald Pulivarti

National Cybersecurity Center of Excellence

NIST NCCoE Cybersecurity of Genomic Data
July 26, 2024

Ting-Tsung Kuo, Ph.D.

Assistant Professor In Residence, Medicine School
Vc-health Sciences-schools
UCSD

Blockchain technology and smart contracts with encryption

Craig Gentry, Ph.D.

Triple Blind

To be determined

Bonnie Berger, Ph.D.

Department of Mathematics
Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology

 

To be determined

Past Events

DateSpeakerTopic
April 26, 2024

Kurt Rohloff, M.S., Ph.D.

Director of Duality Labs
Duality Technologies

Real-World Applications of Secure and Private Data Collaboration using Open-Source Homomorphic Encryption in Software

Haixu Tang, B.S., Ph.D.

Professor of Informatics and Computing
Director, Data Science Academic Programs
Adjunct Professor of Biology
Indiana University

Advancing Secure Biomedical Data Analysis: Integrating Federated Computation, Homomorphic Encryption and Trusted Execution Environments for Enhanced Privacy Preservation

Reem Yunis, Ph.D.

Vaultree

FHE, a privacy-preserving technology for unlocking data
April 12, 2024

Jean-Pierre Hubaux, Ph.D.

Academic Director of EPFL Center for Digital Trust (C4DT)
C4DT-EPFL

Privacy-Preserving Decentralized Data Analytics Base on Homomorphic Encryption

Xiaoqian Jiang, Ph.D.

Associate Vice President of Medical AI
Christopher Sarofim family professor
Center director of Secure Artificial intelligence For hEalthcare (SAFE)
Chair of Department of Data Science and Artificial Intelligence
University of Texas Health Sciences, Houston
D. Bradley McWilliam
School of Biomedical Informatics

DASH: A community effort to assess and promote privacy-preserving techniques for human genomes
March 9, 2024

Pjotr Prins, Ph.D.

Associate Professor
College of Medicine - Memphis
Department of Genetics, Genomics & Informatics
 

What will it take to realize encryption techniques for shared data?

Richard Mott, Ph.D.

Weldon Professor of Computational and Statistical Genetics
University College London
UCL Genetics Institute

Encryption of genotypes and phenotypes for quantitative genetics.

Alexander Senf, Ph.D.

Project Leader of the Archive Distribution Technology
European Bioinformatics Institute

Homomorphic Encryption

This page last reviewed on May 13, 2024