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Nicole Nichols
Nicole Nichols
Palo Alto Networks
Overená e-mailová adresa na: paloaltonetworks.com
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Citované v
Citované v
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Deep learning for unsupervised insider threat detection in structured cybersecurity data streams
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
arXiv preprint arXiv:1710.00811, 2017
3852017
Recurrent neural network attention mechanisms for interpretable system log anomaly detection
A Brown, A Tuor, B Hutchinson, N Nichols
Proceedings of the first workshop on machine learning for computing systems, 1-8, 2018
2082018
Recurrent neural network language models for open vocabulary event-level cyber anomaly detection
AR Tuor, R Baerwolf, N Knowles, B Hutchinson, N Nichols, R Jasper
Workshops at the thirty-second AAAI conference on artificial intelligence, 2018
552018
Systematic evaluation of backdoor data poisoning attacks on image classifiers
L Truong, C Jones, B Hutchinson, A August, B Praggastis, R Jasper, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
402020
Faster fuzzing: Reinitialization with deep neural models
N Nichols, M Raugas, R Jasper, N Hilliard
arXiv preprint arXiv:1711.02807, 2017
332017
Projecting trouble: Light based adversarial attacks on deep learning classifiers
N Nichols, R Jasper
arXiv preprint arXiv:1810.10337, 2018
112018
Bridging automated to autonomous cyber defense: Foundational analysis of tabular q-learning
A Applebaum, C Dennler, P Dwyer, M Moskowitz, H Nguyen, N Nichols, ...
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security …, 2022
102022
Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. arXiv 2017
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
arXiv preprint arXiv:1710.00811, 0
8
Predicting user roles from computer logs using recurrent neural networks
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
72017
Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. arXiv
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
arXiv preprint arXiv:1710.00811, 2017
62017
Deep learning for unsupervised insider threat detection in structured cybersecurity data streams (2017)
A Tuor, S Kaplan, B Hutchinson, N Nichols, S Robinson
arXiv preprint arXiv:1710.00811, 2014
62014
Marine mammal species detection and classification
NM Nichols
52016
Beyond cage: Investigating generalization of learned autonomous network defense policies
M Wolk, A Applebaum, C Dennler, P Dwyer, M Moskowitz, H Nguyen, ...
arXiv preprint arXiv:2211.15557, 2022
42022
Weakly supervised click models for odontocete species classification
N Nichols, M Ostendorf
OCEANS 2014-TAIPEI, 1-4, 2014
22014
Identification of program signatures from cloud computing system telemetry data
N Nichols, M Greaves, W Smith, R LaMothe, G Longoni, J Teuton
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-5, 2016
12016
Call and component evaluation for improved performance of recognition of killer whale individuals
N Nichols, L Atlas, A Bowles, MA Roch
OCEANS 2010 MTS/IEEE SEATTLE, 1-4, 2010
12010
Recognition of killer whale individuals from multiple stereotyped call types.
N Nichols, L Atlas, A Bowles, M Roch
The Journal of the Acoustical Society of America 127 (3_Supplement), 1970-1970, 2010
12010
Recognition of Killer Whale Individuals from Passive Acoustics: An Application of Human Speaker Recognition
NM Nichols
University of Washington, 2010
12010
The Future of Cyber Systems: Human-AI Reinforcement Learning with Adversarial Robustness
N Nichols
The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023
2023
Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments
G Longoni, R LaMothe, J Teuton, M Greaves, N Nichols, W Smith
arXiv preprint arXiv:2009.12498, 2020
2020
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Články 1–20