Jason Matterer

According to our database, Jason Matterer authored at least 7 papers between 2014 and 2023.

Collaborative distances:

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

2023

Mahalanobis-Aware Training for Out-of-Distribution Detection.

Connor Mclaughlin, Jason Matterer, Michael Yee

CoRR, 2023

Poisoning Network Flow Classifiers.

Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Tools and Practices for Responsible AI Engineering.

Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer

CoRR, 2022

Backdoor Poisoning of Encrypted Traffic Classifiers.

John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2018

Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection.

Jason Matterer, Daniel LeJeune

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2016

A Reverse Approach to Named Entity Extraction and Linking in Microposts.

Kara Greenfield, Rajmonda Sulo Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek

Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW 2016), 2016

2014

QuickSelect Tree Process Convergence, With an Application to Distributional Convergence for the Number of Symbol Comparisons Used by Worst-Case Find.

James Allen Fill, Jason Matterer

Comb. Probab. Comput., 2014