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Nicole Nichols

Pacific Northwest National Laboratory

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

* 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

* 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

* 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

* 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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