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Private Summation in the Multi-Message Shuffle Model. (arXiv:2002.00817v3 [cs.CR] UPDATED)
Dec. 20, 2022, 2:10 a.m. | Borja Balle, James Bell, Adria Gascon, Kobbi Nissim
cs.CR updates on arXiv.org arxiv.org
The shuffle model of differential privacy (Erlingsson et al. SODA 2019; Cheu
et al. EUROCRYPT 2019) and its close relative encode-shuffle-analyze (Bittau et
al. SOSP 2017) provide a fertile middle ground between the well-known local and
central models. Similarly to the local model, the shuffle model assumes an
untrusted data collector who receives privatized messages from users, but in
this case a secure shuffler is used to transmit messages from users to the
collector in a way that hides which …
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