Interactive secure function computation

Data, Deepesh; Kurri, Gowtham R.; Ravikumaran Nair, Jithin; Prabhakaran, Vinod M.

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Interactive secure function computation

Author(s): Data, Deepesh; Kurri, Gowtham R.; Ravikumaran Nair, Jithin; Prabhakaran, Vinod M.

Publisher: IEEE

Issued date: 2020-09

Citation: Data, D., Kurri, G. R., Ravi, J. & Prabhakaran, V. M. (2020). Interactive Secure Function Computation. IEEE Transactions on Information Theory, 66(9), pp. 5492–5521.

ISSN: 0018-9448

DOI: https://doi.org/10.1109/TIT.2020.2980789

xmlui.dri2xhtml.METS-1.0.item-contributor-funder: European Commission

Sponsor: This work was supported by the Department of Atomic Energy, Government of India, under Project 12-R&D-TFR-5.01-0500. The work of Deepesh Data was supported by a Microsoft Research India Ph.D. Fellowship. The work of Gowtham R. Kurri was supported in part by a Travel Fellowship from the Sarojini Damodaran Foundation and in part by the Department of Science and Technology, Government of India, under an Indo-Israel Grant DST/INT/ISR/P-16/2017. The work of Jithin Ravi was supported by the European Research Council (ERC) through the European Union's Horizon 2020 Research and Innovation Programme under Grant 714161. The work of Vinod M. Prabhakaran was supported in part by a Ramanujan Fellowship from the Department of Science and Technology, Government of India, in part by the Information Technology Research Academy (ITRA), Government of India, under ITRA Mobile Grant ITRA/15(64)/Mobile/USEAADWN/01, and in part by the Department of Science and Technology, Government of India, under an Indo-Israel Grant DST/INT/ISR/P-16/2017.

Project: info:eu-repo/grantAgreement/EC/H2020/714161

Keywords: Secure multiparty computation , Interactive computation , Security , Common randomness , Rate region

URI: http://hdl.handle.net/10016/33511

Abstract:

We consider interactive computation of randomized functions between two users with the following privacy requirement: the interaction should not reveal to either user any extra information about the other user's input and output other than what can be inferred [+]

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