As computer vision is prevalently used for mail-in ballot processing and counting, it becomes a point of centralized trust in postal voting. We propose DVote, a prototype system of postal voting that provides decentralized trust in computer vision. With blockchain and layer-2 technologies, DVote decentralizes the computation and model training of computer vision to a group of scrutineers that hold the AnyTrust assumption, i.e., at least one member is honest. Consequently, the computational integrity is anchored to the trustworthiness of a large public blockchain such as Ethereum.
@article{arxiv.2202.09122,
title = {Decentralized Verifiable Mail-in Ballot Counting for Postal Voting},
author = {Peichen Xie and Zihan Zheng and Xian Zhang and Shuo Chen},
journal= {arXiv preprint arXiv:2202.09122},
year = {2022}
}