High Performance Logistic Regression for Privacy-Preserving Genome Analysis. - Martine De Cock; Rafael Dowsley; Anderson C. A. Nascimento; Davis Railsback; Jianwei Shen 002; Ariel Todoki (IACR Cryptol. ePrint Arch., 2020)

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)

Fast Privacy-Preserving Text Classification Based on Secure Multiparty Computation. - Amanda Cristina Davi Resende; Davis Railsback; Rafael Dowsley; Anderson C. A. Nascimento; Diego F. Aranha (IEEE Trans. Inf. Forensics Secur., 2022)