PrivFair: a Library for Privacy-Preserving Fairness Auditing. - Sikha Pentyala; David Melanson; Martine De Cock; Golnoosh Farnadi (CoRR, 2022)

Training Differentially Private Models with Secure Multiparty Computation. - Sikha Pentyala; Davis Railsback; Ricardo Maia 001; Rafael Dowsley; David Melanson; Anderson C. A. Nascimento; Martine De Cock (IACR Cryptol. ePrint Arch., 2022)

Privacy-preserving training of tree ensembles over continuous data. - Samuel Adams; Chaitali Choudhary; Martine De Cock; Rafael Dowsley; David Melanson; Anderson C. A. Nascimento; Davis Railsback; Jianwei Shen 002 (Proc. Priv. Enhancing Technol., 2022)

Secure Multi-Party Computation for Personalized Human Activity Recognition. - David Melanson; Ricardo Maia 001; Hee-Seok Kim; Anderson C. A. Nascimento; Martine De Cock (Neural Process. Lett., 2023)