Session

Demystifying Privacy Preserving Computing

Regarding privacy, encrypted data-in-transit (eg: HTTPS) or encrypted data-at-rest (eg: encrypted hard disks) schemes provide sufficient cryptographic guarantees in the battle to protect it. The unresolved problem is encrypting data-in-use. Currently, to process data, we need to decrypt, process, and re-encrypt. Computation over unencrypted data may compromise the confidentiality of data and cause various security attacks
Privacy-Preserving Computing (PPC) has emerged in recent years to enable the secure computation of the data without revealing the content of the data.
We will discuss current state-of-the-art PPC techniques like SMPC, FHE, DP, and the distinct threat models and business use cases they address.

Tejas Chopra

Senior Software Engineer, Netflix

San Jose, California, United States

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