Jason Matterer

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 7

Top Topics

Boosted Classifiers

Top Venues

Comb. Probab. Comput.

FLAIRS Conference

Publications

Connor Mclaughlin, Jason Matterer, Michael Yee
Mahalanobis-Aware Training for Out-of-Distribution Detection. CoRR (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. ACSAC (2023)
Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer
Poisoning Network Flow Classifiers. CoRR (2023)
Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer
Tools and Practices for Responsible AI Engineering. CoRR (2022)
John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke
Backdoor Poisoning of Encrypted Traffic Classifiers. ICDM (Workshops) (2022)
Jason Matterer, Daniel LeJeune
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection. FLAIRS Conference (2018)
Kara Greenfield, Rajmonda S. Caceres, Michael Coury, Kelly Geyer, Youngjune Gwon, Jason Matterer, Alyssa C. Mensch, Cem Safak Sahin, Olga Simek
A Reverse Approach to Named Entity Extraction and Linking in Microposts. #Microposts (2016)
James Allen Fill, Jason Matterer
QuickSelect Tree Process Convergence, With an Application to Distributional Convergence for the Number of Symbol Comparisons Used by Worst-Case Find. Comb. Probab. Comput. 23 (5) (2014)