MP-SPDZ
A versatile framework for multi-party computation
A versatile framework for multi-party computation
Scripts for training deep learning models for MNIST in MPC
Published in IEEE Security & Privacy, 2019
This paper describes an implementation of SPDZ2k, a protocol with malicious security based on oblivious transfer.
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Published in PETS, 2020
This paper describes an implementation of MobileNets in secure computation.
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Published in IACR CRYPTO, 2020
This paper proposes edaBits, a general way of switching between arithmetic and binary computation in MPC.
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Published in ACM CCS, 2020
This paper describes the protocols and the design of MP-SPDZ.
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Published in USENIX Security, 2021
This paper describes an efficient four-party protocol with active security and applications to machine learning.
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Published in ICML, 2022
This paper describes our implementation of deep learning training in MP-SPDZ.
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Workshop, Studienstiftung, 2022
I have run a working group at the Privacy Academy, a week-long event organised by students of the German National Academic Foundation.