Publications

Z. Xie, J. Brophy, A. Noack, W. You, K. Asthana, C. Perkins, S. Reis, Z. Hammoudeh, D. Lowd, S. Singh,

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

Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP, co-located with EMNLP), 2021


J. Brophy and D. Lowd

Machine Unlearning for Random Forests

ICML 2021 (Acceptance rate: 21.5%)


J. Brophy and D. Lowd

DART: Data Addition and Removal Trees

Workshop on Privacy-Preserving AI (PPAI, co-located with AAAI) 2021


J. Brophy and D. Lowd

TREX: Tree-Ensemble Representer-Point Explanations

Workshop on Extending Explainable AI Beyond Deep Models and Classifiers (XXAI, co-located with ICML), 2020


J. Brophy and D. Lowd

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

Workshop on Statistical Relational Learning in AI (STARAI, co-located with AAAI), 2020


J. Brophy and D. Lowd

Collective Classification of Social Network Spam

Workshop on Artificial Intelligence for Cyber Security (AICS, co-located with AAAI), 2017

For a complete list, visit Google Scholar.