Nicole Nichols

16 papers A* 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Proactive Hardening of LLM Defenses with HASTE. CoRR Henry Chen, Victor Aranda, Samarth Keshari, Ryan Heartfield, Nicole Nichols
2022	J	`jnl`	Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies. CoRR Melody Wolk, Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster
2022	—	`conf`	Bridging Automated to Autonomous Cyber Defense: Foundational Analysis of Tabular Q-Learning. AISec@CCS Andy Applebaum, Camron Dennler, Patrick Dwyer, Marina Moskowitz, Harold Nguyen, Nicole Nichols, Nicole Park, Paul Rachwalski, Frank Rau, Adrian Webster, Melody Wolk
2020	J	`jnl`	Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments. CoRR Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith
2020	—	`conf`	Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
2020	J	`jnl`	Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
2018	J	`jnl`	Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers. CoRR Nicole Nichols, Robert Jasper
2018	—	`conf`	Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers. AAAI Fall Symposium: ALEC Nicole Nichols, Robert Jasper
2018	J	`jnl`	Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection. CoRR Andy Brown, Aaron Tuor, Brian Hutchinson, Nicole Nichols
2018	—	`conf`	Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. AAAI Workshops Aaron Randall Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
2017	—	`conf`	Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. AAAI Workshops Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	J	`jnl`	Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams. CoRR Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	J	`jnl`	Faster Fuzzing: Reinitialization with Deep Neural Models. CoRR Nicole Nichols, Mark Raugas, Robert Jasper, Nathan Hilliard
2017	A*	`conf`	Predicting User Roles from Computer Logs Using Recurrent Neural Networks. AAAI Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson
2017	J	`jnl`	Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection. CoRR Aaron Tuor, Ryan Baerwolf, Nicolas Knowles, Brian Hutchinson, Nicole Nichols, Robert Jasper
2016	—	`conf`	Identification of program signatures from cloud computing system telemetry data. SSCI Nicole Nichols, Mark Greaves, William Smith, Ryan LaMothe, Gianluca Longoni, Jeremy Teuton