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MPClan: Protocol Suite for Privacy-Conscious Computations
In addition to having an improved online communication cost, we can shut down almost half of the parties in the online phase, thereby saving up to 50% in the system's operational costs.
Tetrad: Actively Secure 4PC for Secure Training and Inference
A key feature of Tetrad is that robustness comes for free over fair protocols.
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
In this work, we propose SWIFT, a robust PPML framework for a range of ML algorithms in SOC setting, that guarantees output delivery to the users irrespective of any adversarial behaviour.
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