← 研踪 PaperTrailarXiv:2611.11859 · v1
Doubly-Efficient Private Information Retrieval from Modular Forms
首次提交 2026-11-09 12:29
版本更新 2026-11-09 12:29
雷达观测 2026-11-10 13:18
摘要
We present new information-theoretic protocols for -server, doubly-efficient private information retrieval (PIR) in sublinear server time and one extra bit of space on the servers, for every constant . On an -bit database, each of the PIR servers first builds and stores a preprocessing data structure consisting of bits (which is unique to each server, and after which the server may discard the original database). Then, each server answers a PIR query in time , by reading at most bits of its data structure and sending them to the user. In the two server setting (), our PIR protocols achieve , matching the server time of the state-of-the-art schemes of Henzinger and Ragavan (EUROCRYPT 2026) while shrinking their storage from to bits. With servers, our PIR protocols retain the bits of storage and additionally improve on the server time of all prior information-theoretic -server schemes with storage: for example, achieving and (previously and ). Asymptotically, as the server count grows, we shrink the number of servers required to achieve a given server-work exponent from to . Our results draw inspiration from matching-vector techniques (Efremenko, STOC 2009), which we generalize to handle degree-two computations in the exponent. Using this generalization, we build doubly-efficient PIR from the new intermediate abstraction of Fourier-sparse cone-delta functions. Then, we construct such Fourier-sparse cone-delta functions via a connection to modular forms and complex analysis: if a Fourier-sparse cone-delta function does not exist, then there exists a modular form which has too many roots, contradicting the valence formula.
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v1 · 2026-11-09 12:29 · 最新观测版本
Doubly-Efficient Private Information Retrieval from Modular Forms
We present new information-theoretic protocols for -server, doubly-efficient private information retrieval (PIR) in sublinear server time and one extra bit of space on the servers, for every constant . On an -bit database, each of the PIR servers first builds and stores a preprocessing data structure consisting of bits (which is unique to each server, and after which the server may discard the original database). Then, each server answers a PIR query in time , by reading at most bits of its data structure and sending them to the user. In the two server setting (), our PIR protocols achieve , matching the server time of the state-of-the-art schemes of Henzinger and Ragavan (EUROCRYPT 2026) while shrinking their storage from to bits. With servers, our PIR protocols retain the bits of storage and additionally improve on the server time of all prior information-theoretic -server schemes with storage: for example, achieving and (previously and ). Asymptotically, as the server count grows, we shrink the number of servers required to achieve a given server-work exponent from to . Our results draw inspiration from matching-vector techniques (Efremenko, STOC 2009), which we generalize to handle degree-two computations in the exponent. Using this generalization, we build doubly-efficient PIR from the new intermediate abstraction of Fourier-sparse cone-delta functions. Then, we construct such Fourier-sparse cone-delta functions via a connection to modular forms and complex analysis: if a Fourier-sparse cone-delta function does not exist, then there exists a modular form which has too many roots, contradicting the valence formula.
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