CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks

ePrint Report: CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks

Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram

Secure Multiparty Computation (MPC) protocols enable secure evaluation of a circuit by several parties, even in the presence of an adversary who maliciously corrupts all but one of the parties. These MPC protocols are constructed using the well-known secret-sharing-based paradigm (SPDZ and SPD$\mathbb{Z}_{2^k}$), where the protocols ensure security against a malicious adversary by computing Message Authentication Code …

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