Poorvi L. Vora - Research: Statistical Election Audits

My research group currently works on statistical election audits, more specifically ballot polling election audits. We have been developing approaches which make more efficient use of the information obtained by the audit; most of our approaches are implemented in the R2B2 library, originally designed by then undergraduate Sarah Morin. The MINERVA audit was used for a statutory audit of the 2020 primary elections in Montgomery County, Ohio. It has also been integrated into the Arlo election audit software as an option. Providence was used to audit the Rhode Island elections of 2021.

This work has been sponsored in part by NSF Awards 2015253 and 1421373
  1. Oliver Broadrick, Poorvi Vora, and Filip Zagórski. PROVIDENCE: a Flexible Round-by-Round Risk-Limiting Audit. USENIX Security 2023. Talk by Oliver and Filip, slides, arXiv:2210.08717, 17 October 2022.

  2. Oliver Broadrick, Sarah Morin, Grant McClearn, Neal McBurnett, Poorvi L. Vora and Filip Zagórski, Simulations of Ballot Polling Risk-Limiting Audits. Seventh Workshop on Advances in Secure Electronic Voting, in association with Financial Cryptography 2022. Talk, by Oliver, Slides

  3. Filip Zagórski, Grant McClearn, Sarah Morin, Neal McBurnett and Poorvi L. Vora, MINERVA--An Efficient Risk-Limiting Ballot Polling Audit, USENIX Security, 2021. Full version with proofs is: Filip Zagórski, Grant McClearn, Sarah Morin, Neal McBurnett and Poorvi L. Vora, The Athena Class of Risk-Limiting Ballot Polling Audits, arXiv:2008.02315, first version 5 August 2020. Latest version 21 February, 2021.

  4. Sarah Morin, Grant McClearn, Neal McBurnett, Poorvi Vora and Filip Zagórski, A Note on Risk-Limiting Bayesian Polling Audits for Two-Candidate Elections, Fifth Workshop on Advances in Secure Electronic Voting, in association with Financial Crypto 2020. Full version with proofs is: Poorvi L. Vora. Risk-Limiting Bayesian Polling Audits for Two Candidate Elections. CoRR abs/1902.00999, 2019.