Function Secret Sharing

By Elette Boyle, Niv Gilboa, Yuval Ishai. 2015

400 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Elette Boyle
2. Niv Gilboa
3. Yuval Ishai
4. Jonathan Passerat-Palmbach
5. Andrew Trask
6. Daniel Rueckert
7. Marcus R. Makowski
8. Jason V. Mancuso

In Information Systems

1. Niv Gilboa
2. Yuval Ishai
3. Elette Boyle
4. Jason V. Mancuso

Citations in the corpus

• End-to-end privacy preserving deep learning on multi-institutional medical imaging (2021, methodology): “In our recent work, we introduced AriaNN 26 , an SMPC protocol leveraging function secret sharing (FSS) 28 and building upon SPDZ 25 .”
• Function Secret Sharing: Improvements and Extensions (2016, methodology): “We extend the definition of function secret sharing from [7] by allowing a general specification of the allowable leakage, namely the partial information about the function that can be revealed.”