Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning''

Xiaojie Guo

Paper 2022/1073

Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning''

Xiaojie Guo

, Nankai University

Abstract

This work addresses the security flaw in the original VeriFL protocol and proposes a patched protocol. The patched protocol is secure against any static malicious adversary with a certain threshold and only introduces moderate modifications to the original protocol.

Note: The original VeriFL protocol is available at: https://doi.org/10.1109/TIFS.2020.3043139. This document is supplementary material to the original paper.

Metadata

Available format(s): PDF
Category: Cryptographic protocols
Publication info: Preprint.
Keywords: Secure Aggregation Verifiable Aggregation Federated Learning
Contact author(s): xiaojie guo @ mail nankai edu cn
History: 2022-08-24: revised; 2022-08-18: received; See all versions
Short URL: https://ia.cr/2022/1073
License: CC BY

BibTeX

@misc{cryptoeprint:2022/1073,
      author = {Xiaojie Guo},
      title = {Fixing Issues and Achieving Maliciously Secure Verifiable Aggregation in ``{VeriFL}: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning''},
      howpublished = {Cryptology {ePrint} Archive, Paper 2022/1073},
      year = {2022},
      url = {https://eprint.iacr.org/2022/1073}
}