Conference and Journal Publications

Rasoul Akhavan Mahdavi, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, Emily Lepert, Xinda Li, Nils Lukas, John A. Premkumar, Simon Oya, Florian Kerschbaum. "PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting". USENIX Security 2024, pp. 6453-6470.

Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian and Florian Kerschbaum. "Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions". USENIX Security 2024, pp. 2191-2208.

Bailey Kacsmar, Vasisht Duddu, Kyle Tilbury, Blase Ur, and Florian Kerschbaum. "Comprehension from Chaos: Towards Informed Consent for Private Computation". 2023 ACM SIGSAC Conference on Computer and Communications Security, pp 210-244. (Slides)

Bailey Kacsmar. "Improving Interactive Instruction: Faculty Engagement Requires Starting Small and Telling All". Koli Calling 22nd International Conference on Computing Education Research. November 2022. ACM. (Slides)

Bailey Kacsmar, Kyle Tilbury, Miti Mazmudar, Florian Kerschbaum. "Caring about Sharing: User Perceptions of Multiparty Data Sharing". USENIX Security 2022, pp. 899-916. (Survey, Slides, SOUPS Poster, Conference Presentation Recording).

Rasoul Akhavan Mahdavi, Thomas Humphries, Bailey Kacsmar, Simeon Krastnikov, Nils Lukas, John Premkumar, Masoumeh Shafieinejad, Simon Oya, Florian Kerschbaum, Erik-Oliver Blass. "Practical Over-Threshold Multi-Party Private Set Intersection". The Annual Computer Security Applications Conference (ACSAC 2020), pp. 772-783.

Bailey Kacsmar, Basit Khurram, Nils Lukas, Alexander Norton, Masoumeh Shafieinejad, Zhiwei Shang, Yasser Baseri, Maryam Sepehri, Simon Oya, and Florian Kerschbaum. "Differentially Private Two-Party Set Operations". The 5th IEEE European Symposium on Security and Privacy, (IEEE EuroS&P 2020). pp. 390-404.

Bailey Kacsmar, Chelsea H. Komlo, Florian Kerschbaum, Ian Goldberg. "Mind the Gap: Ceremonies for Applied Secret Sharing". Proceedings on Privacy Enhancing Technologies. Vol. 2020, No. 2. 18 pages. April 2020. (Slides)

Bailey Kacsmar, Douglas R. Stinson. "A Network Reliability Approach to the Analysis of Combinatorial Repairable Threshold Schemes." Advances in Mathematics of Communications, 2019, 13 (4) : 601-612.

Bailey Kacsmar, Sarah Plosker, Ryan Henry. "Computing Low-Weight Discrete Logarithms". The 24th Annual Conference on Selected Areas in Cryptography (SAC 2017), International Conference on Selected Areas in Cryptography, pp. 106-126. Springer, Cham. (Slides)

Chenkuan Li, Changpin Li, Bailey Kacsmar, Roque Lacroix and Kyle Tilbury. "The Abel Integral Equations in Distribution", Advances in Analysis, 2 (2017), pages 88-104.

Workshop Publications

Kyle Tilbury, Bailey Kacsmar, Jesse Hoey. "Towards Safety in Multi-agent Reinforcement Learning through Security and Privacy by Design". RLC 2024 Workshop CoCoMARL.

Theses

Perceptions and Practicalities for Private Machine Learning. UWSpace: PhD thesis, University of Waterloo, Waterloo, ON, Canada.

Designing Efficient Algorithms for Combinatorial Repairable Threshold Schemes. UWSpace: MMath thesis, University of Waterloo, Waterloo, ON, Canada (October 2018). (Slides)