Welcome to the resource topic for 2022/077
Title:
Multiple Noisy Private Remote Source Observations for Secure Function Computation
Authors: Onur Gunlu, Matthieu Bloch, Rafael F. Schaefer
Abstract:The problem of reliable function computation is extended by imposing privacy, secrecy, and storage constraints on a remote source whose noisy measurements are observed by multiple parties. The main additions to the classic function computation problem include 1) privacy leakage to an eavesdropper is measured with respect to the remote source rather than the transmitting terminals’ observed sequences; 2) the information leakage to a fusion center with respect to the remote source is considered as another privacy leakage metric; 3) two transmitting node observations are used to compute a function. Inner and outer bounds on the rate regions are derived for lossless single-function computation with two transmitting nodes, which recover previous results in the literature, and for special cases that consider invertible functions simplified bounds are established.
ePrint: https://eprint.iacr.org/2022/077
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