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Automatic Margin Computation for Risk-Limiting Audits

  • Bernhard Beckert
  • Michael Kirsten
  • Vladimir Klebanov
  • Carsten Schürmann
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10141)

Abstract

A risk-limiting audit is a statistical method to create confidence in the correctness of an election result by checking samples of paper ballots. In order to perform an audit, one usually needs to know what the election margin is, i.e., the number of votes that would need to be changed in order to change the election outcome.

In this paper, we present a fully automatic method for computing election margins. It is based on the program analysis technique of bounded model checking to analyse the implementation of the election function. The method can be applied to arbitrary election functions without understanding the actual computation of the election result or without even intuitively knowing how the election function works.

We have implemented our method based on the model checker CBMC; and we present a case study demonstrating that it can be applied to real-world elections.

Keywords

Risk-limiting audit Margin computation Software bounded model checking Static analysis 

Notes

Acknowledgements

This work has been partly supported by COST Action IC1205 on Computational Social Choice. This publication was made possible in part by the DemTech grant 10-092309 from the Danish Council for Strategic Research, Program Commission on Strategic Growth Technologies and in part by NPRP Grant #7-988-1-178 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bernhard Beckert
    • 1
  • Michael Kirsten
    • 1
  • Vladimir Klebanov
    • 1
  • Carsten Schürmann
    • 2
  1. 1.Institute of Theoretical InformaticsKarlsruheGermany
  2. 2.IT University of Copenhagen (ITU)CopenhagenDenmark

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