Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model
Adrià Gascón, Yuval Ishai, Mahimna Kelkar, Baiyu Li, Yiping Ma, Mariana Raykova
Abstract
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.
Topics & Concepts
Differential privacyComputer sciencePrivate information retrievalCryptographyContext (archaeology)Computer securityTheoretical computer scienceDifferential (mechanical device)Cryptographic primitiveInformation sensitivityInformation retrievalCryptographic protocolData miningPaleontologyAerospace engineeringEngineeringBiologyCryptography and Data SecurityInternet Traffic Analysis and Secure E-votingPrivacy-Preserving Technologies in Data