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.
Past Events
| Date | Speaker | Topic |
|---|---|---|
July 26, 2024 | Department of Biomedical Informatics and Data Science | Blockchain technology and smart contracts with encryption |
Triple Blind | Balancing the Scales: Reimagining the Health Data Ecosystem | |
Department of Mathematics | Secure and Collaborative Drug Discovery in the Age of Gen AI | |
July 19, 2024 | Harvard University | MyDataCan Homomorphic Encryption Demo + Discussion |
June 28, 2024 | Accenture Professor Department of Biomedical Informatics | Tailoring Privacy Enhancing Technologies to Adversarial Assumptions |
National Cybersecurity Center of Excellence | NIST NCCoE Cybersecurity of Genomic Data | |
June 21, 2024 | Chief Scientist of Privacy-Enhanced Computing Research in the Emerging Security Lab | Towards interactive to real-time FHE with the Intel HERACLES platform |
Samuel Candler Dobbs Professor of Computer Science | Harnessing Decentralized Health Data with Federated Learning and Differential Privacy | |
Director of the Institute for Artificial Intelligence in Medicine | Real world Use cases and considerations for Privacy Enhancing Technologies | |
June 14, 2024 | Assistant Professor of Biomedical Informatics and Data Science | Secure Computation in Genomics: From Theory to Practice |
Principal Researcher | Homomorphic Encryption Standardization and Security Considerations | |
May 17, 2024 | Lucila 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 |
Daniel Paul Professor of the Practice of Government and Technology | MyDataCan: Changing the Model for Data Privacy | |
April 26, 2024 | Director of Duality Labs | Real-World Applications of Secure and Private Data Collaboration using Open-Source Homomorphic Encryption in Software |
Professor of Informatics and Computing | Advancing Secure Biomedical Data Analysis: Integrating Federated Computation, Homomorphic Encryption and Trusted Execution Environments for Enhanced Privacy Preservation | |
Vaultree | FHE, a privacy-preserving technology for unlocking data | |
April 12, 2024 | Academic Director of EPFL Center for Digital Trust (C4DT) | Privacy-Preserving Decentralized Data Analytics Base on Homomorphic Encryption |
Associate Vice President of Medical AI | DASH: A community effort to assess and promote privacy-preserving techniques for human genomes | |
March 29, 2024 | Associate Professor | What will it take to realize encryption techniques for shared data? |
Weldon Professor of Computational and Statistical Genetics | Encryption of genotypes and phenotypes for quantitative genetics. | |
Project Leader of the Archive Distribution Technology | Homomorphic Encryption |