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CCS2024顶会

Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model

Adrià Gascón, Yuval Ishai, Mahimna Kelkar, Baiyu Li, Yiping Ma, Mariana Raykova

2024年份
4被引次数
2顶会引用

摘要

The shuffle model has recently emerged as a popular setting for differential privacy, where clients can communicate with a central server using anonymous channels or an intermediate message shuffler. This model was also explored in the context of cryptographic tasks such as secure aggregation and private information retrieval (PIR). However, this study was almost entirely restricted to the stringent notion of information-theoretic security.

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