Private two-terminal hypothesis testing

V Narayanan, M Mishra… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
V Narayanan, M Mishra, VM Prabhakaran
2020 IEEE International Symposium on Information Theory (ISIT), 2020ieeexplore.ieee.org
We study private two-terminal hypothesis testing with simple hypotheses where the privacy
goal is to ensure that participating in the testing protocol reveals little additional information
about the other user's observation when a user is told what the correct hypothesis is. We
show that, in general, meaningful correctness and privacy cannot be achieved if the users
do not have access to correlated (but, not common) randomness. We characterize the
optimal correctness and privacy error exponents when the users have access to non-trivial …
We study private two-terminal hypothesis testing with simple hypotheses where the privacy goal is to ensure that participating in the testing protocol reveals little additional information about the other user's observation when a user is told what the correct hypothesis is. We show that, in general, meaningful correctness and privacy cannot be achieved if the users do not have access to correlated (but, not common) randomness. We characterize the optimal correctness and privacy error exponents when the users have access to non-trivial correlated randomness (those that permit secure multiparty computation).
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