Prati
Charles Smutz
Charles Smutz
Potvrđena adresa e-pošte na sandia.gov
Naslov
Citirano
Citirano
Godina
Malicious PDF detection using metadata and structural features
C Smutz, A Stavrou
Proceedings of the 28th annual computer security applications conference …, 2012
3722012
When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors.
C Smutz, A Stavrou
NDSS, 2016
1062016
Sage advice? The impacts of explanations for machine learning models on human decision-making in spam detection
MC Stites, M Nyre-Yu, B Moss, C Smutz, MR Smith
International Conference on Human-Computer Interaction, 269-284, 2021
142021
Preventing exploits in microsoft office documents through content randomization
C Smutz, A Stavrou
Research in Attacks, Intrusions, and Defenses: 18th International Symposium …, 2015
112015
Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment.
M Nyre-Yu, E Morris, M Smith, B Moss, C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
82022
Laika boss: Scalable file-centric malware analysis and intrusion detection system
M Arnao, C Smutz, A Zollman, A Richardson, E Hutchins
62015
Considerations for Deploying xAI Tools in the Wild: Lessons Learned from xAI Deployment in a Cybersecurity Operations Setting.
M Nyre-Yu, ES Morris, BC Moss, C Smutz, M Smith
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
52021
Discerning machine learning degradation via ensemble classifier mutual agreement analysis
C Smutz, A Stavrou
George Mason University Technical Report, 2015
32015
SAGE Intrusion Detection System: Sensitivity Analysis Guided Explainability for Machine Learning.
MR Smith, E Acquesta, A Ames, AN Carey, CR Cuellar, RV Field, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
22021
Document Content Layout Based Exploit Protections
C Smutz, A Stavrou
12014
Assessing the Fidelity of Explanations with Global Sensitivity Analysis.
M Smith, E Acquesta, C Smutz, B Moss, A Rushdi
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
gait
C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Explainable AI in Cybersecurity Operations: Lessons Learned from xAI Tool Deployment.
E Morris, M Nyre-Yu, M Smith, B Moss, C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
and Michael R. Smith Sandia National Laboratories, Albuquerque, NM 87185, USA mcstite@ sandia. gov
MC Stites, M Nyre-Yu, B Moss, C Smutz
Artificial Intelligence in HCI: Second International Conference, AI-HCI 2021 …, 2021
2021
Laika BOSS (Binary Object Scanning System)
G Walkup, E Walkup, C Smutz, C Nebergall, W Lee, J Gallagher, K Coia, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Assessing the Accuracy of ML Explanations for Model Credibility.
MR Smith, E Acquesta, AL Ames, BC Moss, T Maxfield, M Nyre-Yu, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
sandialabs/xyz
C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
2020
Capstone Project Proposal: Extending Obfuscated Pattern Matching in Yara.
C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Signature Matching for Incident Response.
C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
Machine Learning for Intrusion Detection.
C Smutz
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019
2019
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