Authors
Mahimna Kelkar, Phi Hung Le, Mariana Raykova, Karn Seth
Publication date
2022
Conference
31st USENIX Security Symposium (USENIX Security 22)
Pages
791-808
Description
We introduce the first construction for secure two-party computation of Poisson regression, which enables two parties who hold shares of the input samples to learn only the resulting Poisson model while protecting the privacy of the inputs.
Total citations
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Scholar articles
M Kelkar, PH Le, M Raykova, K Seth - 31st USENIX Security Symposium (USENIX Security …, 2022