Date(s) - 06/16/2021
12:00 - 13:00
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Dr. Rosario Cammarota
Advances in data privacy laws create pressures and pain points in the lifecycle of AI and analytics products. Industry, academic, and government research groups must prepare and equip working figures to reason, use, integrate, and deploy privacy-enhancing technologies, such as homomorphic encryption, as part of the product lifecycle. However, to meaningfully incorporate such technologies requires embracing their inherent complexities, overcoming severe performance taxes, developing standards and best practices to evolve the secure development lifecycle. I this talk, I will share both lessons learned and a look ahead on the development of computing platforms for enabling and sustaining the benefits promised by data digitization, sharing and collaboration, while protecting regulatory and privacy concerns.
Ro is a Principal Engineer at Intel Labs. He leads privacy technologies research theory, application, and standardization. His research interests are at the intersection of cryptography, computing, system and hardware security, focusing on processing encrypted data and its applications. He is the Intel principal investigator for the DARPA DPRIVE program, and leads standardization of fully homomorphic encryption at ISO/IEC. Ro is a Senior Member of IEEE. He is a prolific author and inventor and one of the recipients of the SRC Outstanding Industry Liaison Awards in 2017, 2018, and 2019. He obtained his Ph.D. degree in Computer Science from the University of California, Irvine, in 2013.
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