Luke E. Richards

According to our database, Luke E. Richards authored at least 11 papers between 2020 and 2023.

Collaborative distances:

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

2023

Measuring Equality in Machine Learning Security Defenses.

Luke E. Richards, Edward Raff, Cynthia Matuszek

CoRR, 2023

Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition.

Luke E. Richards, Edward Raff, Cynthia Matuszek

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training.

Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff

CoRR, 2022

FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation.

Maksim Ekin Eren, Luke E. Richards, Manish Bhattarai, Roberto Yus, Charles Nicholas, Boian S. Alexandrov

CoRR, 2022

One-Shot Federated Group Collaborative Filtering.

Maksim Ekin Eren, Manish Bhattarai, Nicholas Solovyev, Luke E. Richards, Roberto Yus, Charles Nicholas, Boian S. Alexandrov

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?

André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech.

Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning.

André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Adversarial Transfer Attacks With Unknown Data and Class Overlap.

Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Practical Cross-modal Manifold Alignment for Grounded Language.

André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek

CoRR, 2020

Learning Object Attributes with Category-Free Grounded Language from Deep Featurization.

Luke E. Richards, Kasra Darvish, Cynthia Matuszek

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020