Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model
Adrià Gascón, Yuval Ishai, Mahimna Kelkar, Baiyu Li, Yiping Ma, Mariana Raykova · 2024
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.