Overview
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Explore the world of Privacy Preserving Computing (PPC) in this 37-minute conference talk from Strange Loop 2022. Delve into the unresolved problem of encrypting data-in-use and learn about state-of-the-art PPC techniques that enable secure computation without revealing raw information. Discover the distinct threat models and business use cases addressed by Secure Multiparty Computation (SMPC), Fully Homomorphic Encryption (FHE), and Differential Privacy (DP). Gain insights from Tejas Chopra, a Senior Software Engineer at Netflix with extensive experience in distributed file systems and backend architectures, as he demystifies the complexities of privacy-preserving technologies and their applications in modern data processing.
Syllabus
"Demystifying Privacy Preserving Computing" by Tejas Chopra (Strange Loop 2022)
Taught by
Strange Loop Conference