Differentially Private Condorcet Voting
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Abstract (arXiv)
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 (CMLAPλ), exponential Condorcet method (CMEXPλ), and randomized response Condorcet method (CMRRλ), 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, CMRRλ satisfies (non-approximate) probabilistic Condorcet criterion, while CMLAPλ and CMEXPλ satisfy strong lexi-participation. Finally, we regard differential privacy as a voting axiom, and discuss its relations to other axioms.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 7 of its 31 references that are in the map. First posted on arXiv 27 Jun 2022.
Builds on
7 of 31 references.
References · 7
- 2013Private Matchings and Allocationscited by 23
- 2020Neutralizing Self-Selection Bias in Sampling for Sortitioncited by 7
- 2014The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracycited by 6
- 2019Private Rank Aggregation under Local Differential Privacycited by 5
- 2013Privacy and Mechanism Designcited by 4
- 2014Private Pareto Optimal Exchangecited by 2
- 2015Welfare Maximization Entices Participationcited by 1
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Citing papers per year: 2022: 1; 2023: 2.
3 papers.