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HTAP Summit 2023 | Demystifying Privacy-Preserving Computing
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Privacy-Preserving Computing (PPC) has emerged in recent years to enable the secure computation of data without revealing the content of the data. These techniques look at how to represent data in a form that can be shared, analyzed, and operated on without exposing the raw information.
In this session, Netflix Senior Engineer Tejas Chopra explores current state-of-the-art PPC techniques and the distinct threat models and business use cases they address. The techniques you’ll discover include: Secure multiparty computation (SMPC), fully homomorphic encryption (FHE), Differential privacy (DP)
RESOURCES:
COMMUNITY:
#TiDB #MySQL #opensource #htap #distributedsql #database #cloudnative
In this session, Netflix Senior Engineer Tejas Chopra explores current state-of-the-art PPC techniques and the distinct threat models and business use cases they address. The techniques you’ll discover include: Secure multiparty computation (SMPC), fully homomorphic encryption (FHE), Differential privacy (DP)
RESOURCES:
COMMUNITY:
#TiDB #MySQL #opensource #htap #distributedsql #database #cloudnative