Differentially Private Condorcet Voting
Abstract
Designing private voting rules is an important and pressing problem for trustworthy democracy. In this paper, under the framework of differential privacy, we propose a novel famliy of randomized voting rules based on the well-known Condorcet method, and focus on three classes of voting rules in this family: Laplacian Condorcet method (CMLAP), exponential Condorcet method (CMEXP), and randomized response Condorcet method (CMRR), where λ represents the level of noise. We prove that all of our rules satisfy absolute monotonicity, lexi-participation, probabilistic Pareto efficiency, approximate probabilistic Condorcet criterion, and approximate SD-strategyproofness. In addition, CMRR satisfies (non-approximate) probabilistic Condorcet criterion, while CMLAP and CMEXP satisfy strong lexi-participation. Finally, we regard differential privacy as a voting axiom, and discuss its relations to other axioms.
Cite
Text
Li et al. "Differentially Private Condorcet Voting." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I5.25714Markdown
[Li et al. "Differentially Private Condorcet Voting." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/li2023aaai-differentially/) doi:10.1609/AAAI.V37I5.25714BibTeX
@inproceedings{li2023aaai-differentially,
title = {{Differentially Private Condorcet Voting}},
author = {Li, Zhechen and Liu, Ao and Xia, Lirong and Cao, Yongzhi and Wang, Hanpin},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2023},
pages = {5755-5763},
doi = {10.1609/AAAI.V37I5.25714},
url = {https://mlanthology.org/aaai/2023/li2023aaai-differentially/}
}