Welcome to the resource topic for 2017/044
Title:
Anonymous contribution of data
Authors: Matthew McKague, David Eyers
Abstract:Many application domains depend on the collection of aggregate statistics from a large number of participants. In such situations, often the individual data points are not required. Indeed participants may wish to preserve the privacy of their specific data despite being willing to contribute to the aggregate statistics. We propose a protocol that allows a server to gather aggregate statistics, while providing anonymity to participants. Our protocol is information theoretically secure so that the server gains no information about participants’ data other than what is revealed by the aggregate statistics themselves.
ePrint: https://eprint.iacr.org/2017/044
See all topics related to this paper.
Feel free to post resources that are related to this paper below.
Example resources include: implementations, explanation materials, talks, slides, links to previous discussions on other websites.
For more information, see the rules for Resource Topics .