I am delighted to welcome this week’s guest, Kurt Rohloff. Kurt is the CTO and Co-Founder of Duality Technologies, a privacy tech company that enables organizations to leverage data across their ecosystem and generate joint insights for better business while preserving privacy. Kurt was also Co-Founder of the OpenFHE Homomorphic Encryption Software Library that enables practical and usable privacy and collaborative data analytics.He's successfully led teams that are developing, transitioning, and applying first-in-the-world technology capabilities for both the Department of Defense as well as for commercial use. Kurt specializes in generating, developing, and commercializing innovative secure computing technologies with a focus on privacy and AI/ML at scale. In this episode, we discuss use cases for leveraging Fully Homomorphic Encryption (FHE) and other PETs.In a previous episode, we spoke about federated learning; and in this episode, we learn how to achieve secure federated learning using fully homomorphic encryption (FHE) techniques.Kurt has been focused on and supported homomorphic encryption since it was first discovered, including his involvement in one of the seminal projects, funded by DARPA, where he ran an implementation team, called PROCEED.FHE, as opposed to other kinds of privacy technologies, is more general and malleable. As each organization has different needs when it comes to data collaboration, Duality Technologies offers three separate models for collaboration, which enable organizations to secure sensitive data while still allowing different types of sharing.Topics Covered:How companies can gain utility from a dataset while protecting the privacy of individuals or entitiesHow FHEs help with fraud prevention, How FHEs help with fraud prevention, secure investigations, real-world evidence & genome-wide association studiesUse cases for the three collaboration models Duality offers: Single Data Set, Horizontal Data Analysis, and Vertical Data AnalysisComparison & trade-offs involved between federated learning and homomorphic encryptionProliferation of FHE StandardsOpenFHE.org, the leading open source library for implementations of fully homomorphic encryption protocolsResources Mentioned:Review the OpenFHE encryption software libraryLearn about DualityGuest Info:Connect with Kurt on LinkedInSend a text Privado.aiPrivacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.Shifting Privacy Left MediaWhere privacy engineers gather, share, & learnBuzzsprout - Launch your podcastDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Copyright © 2022 - 2024 Principled LLC. All rights reserved.

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