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Nicole Nichols

Pacific Northwest National Laboratory

Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies


Nov 30, 2022
Melody Wolk, Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster

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* NeurIPS 2022 Workshop: Reinforcement Learning for Real Life 

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Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments


Sep 26, 2020
Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith

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* 9 pages, 13 figures, 6 tables 

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Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers


Apr 24, 2020
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor

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Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers


Oct 16, 2018
Nicole Nichols, Robert Jasper

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Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection


Mar 13, 2018
Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols

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* Submitted to the First Workshop On Machine Learning for Computer Systems, ACM HPDC 2018 

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Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams


Dec 15, 2017
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson

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* Proceedings of AI for Cyber Security Workshop at AAAI 2017 

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Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection


Dec 02, 2017
Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Rob Jasper

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* 8 pages, To appear in proceedings of AAAI-2018 Artificial Intelligence in Cyber Security Workshop 

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Faster Fuzzing: Reinitialization with Deep Neural Models


Nov 08, 2017
Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard

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