Zero Trust application: Cyber-Physical System Security
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Choi, Sung Nam↗
SEARCH · Engineering Papers
Results for “TRUST”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization
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Kouri, Drew Philip↗
Efficient Proximal Subproblem Solvers for An Inexact Nonsmooth Trust-Region Method
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Kouri, Drew Philip↗
Trusted Platform Provisioning for the OpenCHAMI Cluster Management Stack
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Ritzdorf, Lucas Lee↗
A Proximal Trust-Region Method for Nonsmooth Optimization with Inexact Function and Gradient Evaluations
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Kouri, Drew Philip↗
Evaluating a Credibility Technical Basis Towards Trusted AI for High Consequence Applications
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Acquesta, Erin Carolyn Solfiell↗
Trust Maturity Model for AI Systems
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Steinmetz, Scott↗
Distance Learning LDRD: Using Latent Deep Learning Distances to Create Trusted Models
An overview of some results from our first year of analyses.
Wendt, Jeremy D↗
Tailoring for Trust: T4T
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Wisniewski, Kyra Lynn↗
Increasing Trust in Machine Learning Models: Explainability, User Interpretations, and Trustworthiness
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Smith, Michael Reed↗
Trusted Simulation: An Organizing Framework for Considering Model Quality
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Naugle, Asmeret Bier↗
Third Generation Trusted Radiation Identification System (3G-TRIS)
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Hamel, Michael C.↗
MADMAX: Multi-Agent Trust Dynamics and Influence Maximization
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Sorensen, Asael Hal↗
Trust in a Safeguards Voice User Interface for a Nuclear Material Measurement Task
INMM annual meeting presentation
Gastelum, Zoe Nellie↗
Trust Factors in Voice User Interfaces for International Nuclear Safeguards Inspectors
SNL Human Systems Symposium presentation for UUR release. This presentation has been approved for sensitivity review and for release by the sponsor
Coram, Jamie L.↗
Improving Trust in Information Barriers through Separate Provisioning of Hardware and Firmware
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Brotz, Jay Kristoffer↗
TOMCAT5G: A Configuration and Trust Analysis Tool for over-the-air Feature and Core Classification in 5G
Because surveillance and tracking are common in next generation wireless protocols, a user may want to have extra information about a cellular network before connecting to it. The thrust of this research answers the question: how much information can a user device get about a 5G cellular core network as a function of the amount of information the user device provides to the network?
42 ENGINEERING↗