Cybersecurity

Beyond Latency: A System-Level Characterization of MPC and FHE for PPML

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Researchers have conducted a comprehensive evaluation of secure multiparty computation (MPC) and fully homomorphic encryption (FHE) in privacy-preserving machine learning, considering various performance metrics beyond just latency. This study offers valuable guidance on selecting and optimizing these technologies for different deployment scenarios, helping developers make informed decisions about privacy-preserving techniques.

Read the full article at arXiv cs.CR (Cryptography & Security)

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