Ph.D. Thesis on Efficient Secure Multi-Party Computation

IACR

Renningen

Bosch Research is developing an open source cloud platform (https : / / carbynestack.io) for computing on encrypted data using Secure Multi-party Computation (MPC).

Potential use cases include, but are not limited to, Privacy-Preserving Machine Learning and Privacy-Preserving Data Analytics.

For such large computations on big data, active secure MPC becomes quite expensive. Bosch Research is therefore trying to reduce the computational and communication costs of MPC by optimizing the underlying cryptographic primitives and protocols.

Thus, we are looking for a highly motivated PhD candidate with a strong background in applied cryptography and preferably also MPC.

The candidates should meet the following requirements : Education : Hold an M.Sc. degree (or equivalent) with excellent grades in IT security or computer science.

Experience and Knowledge : Strong background in (applied) cryptography with a particular focus on cryptographic protocols / MPC, including security models and... More Detail

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