Jonathan Brophy

According to our database, Jonathan Brophy authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees.

Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd

J. Mach. Learn. Res., 2023

2022

TCAB: A Large-Scale Text Classification Attack Benchmark.

Kalyani Asthana, Zhouhang Xie, Wencong You, Adam Noack, Jonathan Brophy, Sameer Singh, Daniel Lowd

CoRR, 2022

Identifying Adversarial Attacks on Text Classifiers.

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Sameer Singh, Daniel Lowd

CoRR, 2022

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees.

Jonathan Brophy, Daniel Lowd

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Machine Unlearning for Random Forests.

Jonathan Brophy, Daniel Lowd

Proceedings of the 38th International Conference on Machine Learning, 2021

What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations.

Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

DART: Data Addition and Removal Trees.

Jonathan Brophy, Daniel Lowd

CoRR, 2020

TREX: Tree-Ensemble Representer-Point Explanations.

Jonathan Brophy, Daniel Lowd

CoRR, 2020

EGGS: A Flexible Approach to Relational Modeling of Social Network Spam.

Jonathan Brophy, Daniel Lowd

CoRR, 2020

2017

Collective Classification of Social Network Spam.

Jonathan Brophy, Daniel Lowd

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017