An Apobayesian Relative of Winnow. - Nick Littlestone; Chris Mesterharm (NIPS, 1996)

A Multi-class Linear Learning Algorithm Related to Winnow. - Chris Mesterharm (NIPS, 1999)

Using Linear-threshold Algorithms to Combine Multi-class Sub-experts. - Chris Mesterharm (ICML, 2003)

Tracking Linear-threshold Concepts with Winnow. - Chris Mesterharm (J. Mach. Learn. Res., 2003)

On-line Learning with Delayed Label Feedback. - Chris Mesterharm (ALT, 2005)

Experience-efficient learning in associative bandit problems. - Alexander L. Strehl; Chris Mesterharm; Michael L. Littman; Haym Hirsh (ICML, 2006)

Combinatorial fusion with on-line learning algorithms. - Chris Mesterharm; D. Frank Hsu (FUSION, 2008)

Active learning using on-line algorithms. - Chris Mesterharm; Michael J. Pazzani (KDD, 2011)

Farm Ads. - Chris Mesterharm; Michael J. Pazzani (UCI Machine Learning Repository, 2011)

A Random Subspace Technique That Is Resistant to a Limited Number of Features Corrupted by an Adversary. - Chris Mesterharm; Rauf Izmailov; Scott Alexander; Simon Tsang (CoRR, 2019)

Membership Model Inversion Attacks for Deep Networks. - Samyadeep Basu; Rauf Izmailov; Chris Mesterharm (CoRR, 2019)

Privacy Leakage Avoidance with Switching Ensembles. - Rauf Izmailov; Peter Lin; Chris Mesterharm; Samyadeep Basu (MILCOM, 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)

ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. - Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Farinaz Koushanfar (DSN, 2023)