Nicole Nichols

According to our database, Nicole Nichols authored at least 11 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies.

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

CoRR, 2022

Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning.

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

Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

2020

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

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

CoRR, 2020

Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection.

Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols

CoRR, 2018

Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers.

Nicole Nichols, Robert Jasper

Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), 2018

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

Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Faster Fuzzing: Reinitialization with Deep Neural Models.

Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard

CoRR, 2017

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

Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Predicting User Roles from Computer Logs Using Recurrent Neural Networks.

Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Identification of program signatures from cloud computing system telemetry data.

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

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016