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2020 – today
- 2023
[c4]Giorgio Severi
, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer:
Poisoning Network Flow Classifiers. ACSAC 2023: 337-351- [i3]Giorgio Severi, Simona Boboila, Alina Oprea, John T. Holodnak, Kendra Kratkiewicz, Jason Matterer:
Poisoning Network Flow Classifiers. CoRR abs/2306.01655 (2023) - [i2]Connor Mclaughlin, Jason Matterer, Michael Yee:
Mahalanobis-Aware Training for Out-of-Distribution Detection. CoRR abs/2311.00808 (2023) - 2022
- [c3]John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke:
Backdoor Poisoning of Encrypted Traffic Classifiers. ICDM (Workshops) 2022: 577-585 - [i1]Ryan Soklaski, Justin Goodwin, Olivia M. Brown, Michael Yee, Jason Matterer:
Tools and Practices for Responsible AI Engineering. CoRR abs/2201.05647 (2022)
2010 – 2019
- 2018
- [c2]Jason Matterer, Daniel LeJeune:
Peer Group Metadata-Informed LSTM Ensembles for Insider Threat Detection. FLAIRS 2018: 62-67 - 2016
- [c1]Kara Greenfield, Rajmonda Sulo 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: 67-69 - 2014
- [j1]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): 805-828 (2014)
Coauthor Index
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