Computationally Secure Aggregation and Private Information Retrieval in the Shuffle Model
Adrià Gascón, Yuval Ishai, Mahimna Kelkar, Baiyu Li, Yiping Ma, Mariana Raykova
2024Year
4Citations
2Top-tier citations
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.
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Install the CLIlune papers get 9f65f342-4897-441d-9f1f-459036e4c03eCited by top-tier papers2
- Encrypted Matrix-Vector Products from Secret Dual CodesFabrice Benhamouda, Caicai Chen, Shai Halevi, Yuval Ishai et al.CCS 2025 · 1 citation
- Beyond Statistical Estimation: Differentially Private Individual Computation via ShufflingShaowei Wang, Changyu Dong, Xiangfu Song, Jin Li et al.USENIX Security 2025
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