We present two secure two party computation (STPC) protocols for piecewise function approximation on private data. The protocols rely on a piecewise approximation of the to-be-computed function easing the implementation in an STPC setting. The first protocol relies entirely on garbled circuits (GCs), while the second one exploits a hybrid construction where GC and homomorphic encryption are used together. In addition to piecewise constant and linear approximation, polynomial interpolation is also considered. From a communication complexity perspective, the full-GC implementation is preferable when the input and output variables can be represented with a small number of bits, while the hybrid solution is preferable otherwise. With regard to computational complexity, the full-GC solution is generally more convenient.
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|Titolo:||Piecewise Function Approximation with Private Data|
|Rivista:||IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY|
|Citazione:||Lazzeretti, R., Pignata, T., & Barni, M. (2016). Piecewise Function Approximation with Private Data. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 11(3), 642-657.|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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