Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks. - Felipe A. Mejia; Paul Gamble; Zigfried Hampel-Arias; Michael Lomnitz; Nina Lopatina; Lucas Tindall; Maria Alejandra Barrios (CoRR, 2019)

Reducing audio membership inference attack accuracy to chance: 4 defenses. - Michael Lomnitz; Nina Lopatina; Paul Gamble; Zigfried Hampel-Arias; Lucas Tindall; Felipe A. Mejia; Maria Alejandra Barrios (CoRR, 2019)

A general approach to bridge the reality-gap. - Michael Lomnitz; Zigfried Hampel-Arias; Nina Lopatina; Felipe A. Mejia (CoRR, 2020)

Saisiyat Is Where It Is At! Insights Into Backdoors And Debiasing Of Cross Lingual Transformers For Named Entity Recognition. - Ricardo A. Calix; J. J. Ben-Joseph; Nina Lopatina; Ryan Ashley; Mona Gogia; George Sieniawski; Andrea Brennen (IEEE Big Data, 2022)

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset. - Marina Fomicheva; Shuo Sun; Erick R. Fonseca; Chrysoula Zerva; Frédéric Blain; Vishrav Chaudhary; Francisco Guzmán; Nina Lopatina; Lucia Specia; André F. T. Martins (LREC, 2022)