Nicole Nichols

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 15

Top Topics

Top Venues

Publications

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 (2022)
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)
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)
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 (2020)
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 (2020)
Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR (2018)
Nicole Nichols, Robert Jasper
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers. CoRR (2018)
Nicole Nichols, Robert Jasper
Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers. AAAI Fall Symposium: ALEC (2018)
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)
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)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR (2017)
Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI (2017)
Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard
Faster Fuzzing: Reinitialization with Deep Neural Models. CoRR (2017)
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 (2017)
Nicole Nichols, Mark Greaves, William Smith, Ryan LaMothe, Gianluca Longoni, Jeremy Teuton
Identification of program signatures from cloud computing system telemetry data. SSCI (2016)