Chris Mesterharm

According to our database, Chris Mesterharm authored at least 14 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2023

ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems.

Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

2022

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

2021

Privacy Leakage Avoidance with Switching Ensembles.

Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu

Proceedings of the 2021 IEEE Military Communications Conference, 2021

2019

Membership Model Inversion Attacks for Deep Networks.

Samyadeep Basu, Rauf Izmailov, Chris Mesterharm

CoRR, 2019

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

2011

Farm Ads.

Chris Mesterharm, Michael J. Pazzani

Dataset, October, 2011

Active learning using on-line algorithms.

Chris Mesterharm, Michael J. Pazzani

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2008

Combinatorial fusion with on-line learning algorithms.

Chris Mesterharm, D. Frank Hsu

Proceedings of the 11th International Conference on Information Fusion, 2008

2006

Experience-efficient learning in associative bandit problems.

Alexander L. Strehl, Chris Mesterharm, Michael L. Littman, Haym Hirsh

Proceedings of the Machine Learning, 2006

2005

On-line Learning with Delayed Label Feedback.

Chris Mesterharm

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2003

Tracking Linear-threshold Concepts with Winnow.

Chris Mesterharm

J. Mach. Learn. Res., 2003

Using Linear-threshold Algorithms to Combine Multi-class Sub-experts.

Chris Mesterharm

Proceedings of the Machine Learning, 2003

1999

A Multi-class Linear Learning Algorithm Related to Winnow.

Chris Mesterharm

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1996

An Apobayesian Relative of Winnow.

Nick Littlestone, Chris Mesterharm

Proceedings of the Advances in Neural Information Processing Systems 9, 1996