AI & ML
The Price of Privacy: Randomness Complexity of Graph-Based Multi-Secret Sharing
arXiv math.IT0 views
arXiv:2610.10002v1 Announce Type: new Abstract: We study the randomness required to share possibly correlated secret bits among parties connected by a graph. A dealer places shares on the edges so that each party can recover its own secret from its incident shares and learn nothing about the others beyond what its own secret reveals. Anilkumar et al. completely determined the minimum randomness required for three binary secrets. We extend this study to four secrets and obtain results for arbitrary numbers of secrets on general graphs. For four parties on a complete graph, we determine the minimum number of random states for every set of permitted secret combinations: the possible values are one, two, three and four. We also characterize when one random bit suffices on an arbitrary graph.
Source:https://arxiv.org/abs/2610.10002PreviousProbabilistic GC-Constraints for Composite DNANextSpectral Efficiency Analysis of Massive MIMO-OFDM Systems with Double Quantization
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