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Nicole Nichols
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Conference and Workshop Papers
- 2022
- [c7]Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster, Melody Wolk:
Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning. AISec@CCS 2022: 149-159 - 2020
- [c6]Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops 2020: 3422-3431 - 2018
- [c5]Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper:
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. AAAI Workshops 2018: 285-293 - [c4]Nicole Nichols, Robert Jasper:
Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers. AAAI Fall Symposium: ALEC 2018: 44-49 - 2017
- [c3]Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI 2017: 4993-4994 - [c2]Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops 2017 - 2016
- [c1]Nicole Nichols, Mark Greaves, William Smith, Ryan LaMothe, Gianluca Longoni, Jeremy Teuton:
Identification of program signatures from cloud computing system telemetry data. SSCI 2016: 1-5
Informal and Other Publications
- 2022
- [i8]Melody Wolk, Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster:
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies. CoRR abs/2211.15557 (2022) - 2020
- [i7]Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor:
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR abs/2004.11514 (2020) - [i6]Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith:
Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments. CoRR abs/2009.12498 (2020) - 2018
- [i5]Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols:
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR abs/1803.04967 (2018) - [i4]Nicole Nichols, Robert Jasper:
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers. CoRR abs/1810.10337 (2018) - 2017
- [i3]Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson:
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR abs/1710.00811 (2017) - [i2]Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard:
Faster Fuzzing: Reinitialization with Deep Neural Models. CoRR abs/1711.02807 (2017) - [i1]Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper:
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR abs/1712.00557 (2017)
Coauthor Index
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