We examine the combination of two directions in the field of privacy concerning computations over distributed private inputs – secure function evaluation (SFE) and differential...
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
In the setting of multiparty computation a set of parties with private inputs wish to compute some joint function of their inputs, whilst preserving certain security properties (l...
In the setting of secure multiparty computation, a set of parties wish to to jointly compute some function of their input (i.e., they wish to securely carry out some distributed t...
Abstract. Diagnostic and classification algorithms play an important role in data analysis, with applications in areas such as health care, fault diagnostics, or benchmarking. Bran...
Mauro Barni, Pierluigi Failla, Vladimir Kolesnikov...