Scratch that! An Evolution-based Adversarial Attack against Neural Networks. - Malhar Jere; Briland Hitaj; Gabriela F. Ciocarlie; Farinaz Koushanfar (CoRR, 2019)

Principal Component Properties of Adversarial Samples. - Malhar Jere; Sandro Herbig; Christine Lind; Farinaz Koushanfar (CoRR, 2019)

A Singular Value Perspective on Model Robustness. - Malhar Jere; Maghav Kumar; Farinaz Koushanfar (CoRR, 2020)

Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. - Shehzeen Hussain; Paarth Neekhara; Malhar Jere; Farinaz Koushanfar; Julian J. McAuley (WACV, 2021)

A Taxonomy of Attacks on Federated Learning. - Malhar Jere; Tyler Farnan; Farinaz Koushanfar (IEEE Secur. Priv., 2021)

ReFace: Real-time Adversarial Attacks on Face Recognition Systems. - Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Kevin An; Malhar Jere; Harshvardhan Sikka; Farinaz Koushanfar (CoRR, 2022)

Adversarial scratches: Deployable attacks to CNN classifiers. - Loris Giulivi; Malhar Jere; Loris Rossi; Farinaz Koushanfar; Gabriela F. Ciocarlie; Briland Hitaj; Giacomo Boracchi (Pattern Recognit., 2023)