Summary Report: CHIPS R&D Program Standards Summit
The mission of the National Institute of Standards and Technology's (NIST) CHIPS Research and Development Office (CHIPS R&D) under the Department of Commerce's CHIPS for America Program is to accelerate the development and commercial deployment of
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian co-regionalization N-dimensional piecewise function learning
Autonomous materials research labs require the ability to combine and learn from diverse data streams. This is especially true for learning material synthesis–process–structure–property relationships, key to accelerating materials optimization and
Proxy Validation and Verification for Critical AI Systems
This white paper offers a suggestion that prior testing artifacts from similar AI systems can be reused for new AI software. Testing AI and Machine learning software is difficult, and if prior testing results from similar systems could be applied as a
Proxima: A Proxy Model-Based Approach to Influence Analysis
Machine learning (ML)-based Artificial Intelligence (AI) systems rely on training data to perform optimally, but the internal workings of how ML models learn from and use this data are often a black- box. Influence analysis provides valuable insights into
IP Security in Structured ASIC: Challenges and Prospects
With the globalization of hardware manufacturing and the growing demand for electronics, companies now heavily rely on offshore facilities for most of the design and manufacturing processes, including emerging technologies like Structured ASICs
On Combinatorial Security Testing for the Tor Anonymity Network Client
In this paper, we present an application of combinatorial security testing to the well-known anonymity network Tor. Rigorous testing of the Tor network is important to evaluate not only its functionality, but also the security it provides to its users
Assessing the Degree of Feature Interactions that Determine a Model Prediction
Machine Learning (ML) models rely on capturing important feature interactions to generate predictions. This study is focused on validating the hypothesis that model predictions often depend on interactions involving only a few features. This hypothesis is
Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields. Over the
Building a Cybersecurity and Privacy Learning Program
This publication provides guidance for federal agencies and organizations to develop and manage a life cycle approach to building a Cybersecurity and Privacy Learning Program (CPLP). The approach is intended to address the needs of large and small
Report on the Block Cipher Modes of Operation in the NIST SP 800-38 Series
This report focuses on the NIST-recommended block cipher modes of operation specified in NIST Special Publications (SP) 800-38A through 800-38F. The goal is to provide a concise survey of relevant research results about the algorithms and their
Recommended Cybersecurity Requirements for Consumer-Grade Router Products
Ensuring the security of routers is crucial for safeguarding not only individuals' data but also the integrity and availability of entire networks. With the increasing prevalence of smart home IoT devices and remote work setups, the significance of
Not All Victims Are Created Equal: Investigating Differential Phishing Susceptibility
Repeat clickers refer to individuals who repeatedly fall prey to phishing at-tempts, posing a disproportionately higher risk to the organizations they inhabit. This study sought to explore the potential influence of three factors on repeat clicking
An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin
The key differentiation of digital twins from existing models-based engineering approaches lies in the continuous synchronization between physical and virtual twins through data exchange. The success of digital twins, whether operated automatically or with
Mapping Industrial Wireless Deployments onto Individual Use Cases
Industrial wireless is crucial for the vision of increased intelligence in industrial automation and enhanced connectivity in various industrial scenarios. Although general requirements are usually defined for deploying industrial wireless networks in
An Industrial Private 5G Testbed for Networked Automation Systems
Interest in integrating wireless communication capabilities into industrial Cyber-Physical Systems (CPS) has surged recently. Driven by advantages like ease of deployment, reduced maintenance costs, and asset mobility, CPSs now employ wireless