Hybrid Elections Broaden Complexity-Theoretic Resistance to Control
Edith Hemaspaandra, Lane A. Hemaspaandra, Joerg Rothe

TL;DR
This paper introduces a method to combine election schemes to create a voting system resistant to all standard types of electoral control, leveraging computational complexity to prevent manipulation.
Contribution
It presents a novel approach to combine multiple election schemes, achieving comprehensive resistance to control by integrating their individual NP-hardness properties.
Findings
Existence of an election scheme resistant to all twenty standard control types.
Method for combining election schemes to preserve control resistances.
First proof of a universal control-resistant election scheme.
Abstract
Electoral control refers to attempts by an election's organizer ("the chair") to influence the outcome by adding/deleting/partitioning voters or candidates. The groundbreaking work of Bartholdi, Tovey, and Trick [BTT92] on (constructive) control proposes computational complexity as a means of resisting control attempts: Look for election systems where the chair's task in seeking control is itself computationally infeasible. We introduce and study a method of combining two or more candidate-anonymous election schemes in such a way that the combined scheme possesses all the resistances to control (i.e., all the NP-hardnesses of control) possessed by any of its constituents: It combines their strengths. From this and new resistance constructions, we prove for the first time that there exists an election scheme that is resistant to all twenty standard types of electoral control.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Voting Systems · Internet Traffic Analysis and Secure E-voting · Complexity and Algorithms in Graphs
