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cs.CR2025
Covert Attacks on Machine Learning Training in Passively Secure MPC
Matthew Jagielski, Daniel Escudero, Rahul Rachuri +1
Secure multiparty computation (MPC) allows data owners to train machine learning models on combined data while keeping the underlying training data private. The MPC threat model ei…
cs.CR2021★ 54 cited
Tetrad: Actively Secure 4PC for Secure Training and Inference
Nishat Koti, Arpita Patra, Rahul Rachuri +1
Mixing arithmetic and boolean circuits to perform privacy-preserving machine learning has become increasingly popular. Towards this, we propose a framework for the case of four par…