Dec. 15, 2023, 1:36 a.m. |

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ePrint Report: FANNG-MPC: Framework for Artificial Neural Networks and Generic MPC

Najwa Aaraj, Abdelrahaman Aly, Tim Güneysu, Chiara Marcolla, Johannes Mono, Rogerio Paludo, Iván Santos-González, Mireia Scholz, Eduardo Soria-Vazquez, Victor Sucasas, Ajith Suresh


In this work, we introduce FANNG-MPC, a versatile secure multi-party computation framework capable to offer active security for privacy preserving machine learning as a service (MLaaS). Derived from the now deprecated SCALE-MAMBA, FANNG is a data-oriented fork, featuring novel set of libraries and instructions for realizing private …

artificial computation eprint report framework mpc networks neural networks offer party report security tim work

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