Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information
Eric Chitambar, Ben Fortescue, Min-Hsiu Hsieh

TL;DR
This paper characterizes when the secret key rate equals the conditional mutual information across different communication scenarios, providing necessary conditions and operational interpretations for such distributions.
Contribution
It offers a complete solution for secret key distillation under no-communication and introduces conditions for achieving the key rate with one- or two-way communication.
Findings
Distributions with key rate equal to conditional mutual information are characterized.
Secret key rate equals $H(S|Z)$ with shared randomness, where $S$ is Gács-Körner Common Information.
Two-way communication can be necessary to achieve the optimal key rate in certain distributions.
Abstract
In this paper we consider the problem of extracting secret key from an eavesdropped source at a rate given by the conditional mutual information. We investigate this question under three different scenarios: (i) Alice () and Bob () are unable to communicate but share common randomness with the eavesdropper Eve (), (ii) Alice and Bob are allowed one-way public communication, and (iii) Alice and Bob are allowed two-way public communication. Distributions having a key rate of the conditional mutual information are precisely those in which a "helping" Eve offers Alice and Bob no greater advantage for obtaining secret key than a fully adversarial one. For each of the above scenarios, strong necessary conditions are derived on the structure of distributions attaining a secret key rate of . In obtaining our results, we completely solve the problem of secret key…
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