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20182024
most citedChameleon: A Hybrid Secure Computation Framework for Machine Learning Applications

51 citations · 148 across the 13 of their papers we have counts for

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Showing 2019 · cs.CRShow all

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cs.CR2019★ 9 cited

A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC"

Thomas Schneider, Amos Treiber

Privacy-preserving scalar product (PPSP) protocols are an important building block for secure computation tasks in various applications. Lu et al. (TPDS'13) introduced a PPSP proto…