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arXiv · 2206.13081

Differentially Private Condorcet Voting

Zhechen Li·Ao Liu·Lirong Xia·Yongzhi Cao·Hanpin Wang
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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 ($\CMLAP_\lambda$), exponential Condorcet method ($\CMEXP_\lambda$), and randomized response Condorcet method ($\CMRR_\lambda$), where $\lambda$ 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, $\CMRR_\lambda$ satisfies (non-approximate) probabilistic Condorcet criterion, while $\CMLAP_\lambda$ and $\CMEXP_\lambda$ satisfy strong lexi-participation. Finally, we regard differential privacy as a voting axiom, and discuss its relations to other axioms.

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Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang. 2022-06-27. Differentially Private Condorcet Voting. https://arxiv.org/abs/2206.13081

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