Secure aggregation of high-dimensional vectors is a fundamental primitive in federated statistics and learning. A two-server system such as PRIO allows for scalable aggregation of secret-shared vectors.
Nov 16, 2023
We propose Private Inexpensive Norm Enforcement (PINE): a new protocol that allows exact norm verification with little communication overhead.
A two- server system such as PRIO allows for scalable aggregation of secret-shared vectors. Adversarial clients might try to ma- nipulate the aggregate, so it ...
May 29, 2024 · Our main contribution is PINE (for Private Inexpensive Norm Enforcement): a communication- efficient protocol for Euclidean norm verification ...
PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors ; content type paper ; research area Methods and Algorithms ; research area Privacy ...
Sep 27, 2024 · This document describes PINE, a Verifiable Distributed Aggregation Function (VDAF) for secure aggregation of high-dimensional, real- valued vectors with ...
Mar 4, 2024 · This document describes PINE, a Verifiable Distributed Aggregation Function (VDAF) for secure aggregation of high-dimensional, real-valued ...
Guy N. Rothblum. Linked Presentation: PINE: Efficient Verification of a Euclidean Norm Bound of a Secret-Shared Vector.
PINE: Efficient Norm-Bound Verification for Secret-Shared Vectors · Guy N. Rothblum,Eran Omri,Junye Chen,Kunal Talwar. arXiv (Cornell University) (2023). Cited0 ...
PINE: Efficient Verification of a Euclidean Norm Bound of a Secret-Shared Vector · Communication Overhead 100% · Norm Enforcement 100% · Dimensional Vector 66%.