Innovations in Privacy-Preserving Tech: Applications for Government Data Sharing

Recording

Overview

Emerging technologies and applications are providing new opportunities for secure, privacy-protecting data sharing in both the public and private sector. As the federal government develops a plan intended to advance innovation in data and analytics, approaches like secure multiparty computation, homomorphic encryption, synthetic data, and differential privacy offer capabilities for managing input, analytical, and output privacy and promote data accessibility and use. During this one-hour virtual event, speakers provided insights about innovative projects and applications relevant to government, and discussed the potential for privacy-preserving approaches to enhance existing data and analytical capabilities in government that can simultaneously strengthen the American public’s privacy expectations.

Speakers

• Mayank Varia, Co-Director, Boston University's Center for Reliable Information Systems & Cyber Security
• Amy O'Hara, Research Professor, Georgetown University's Massive Data Institute
• Nirdhar (Ninu) Khazanie, Product Manager, Google
• Chris Sadler, Education Data and Privacy Fellow, New America's Open Technology Institute
• Nick Hart, President, Data Foundation