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Picture of Jay Nunamaker

Jay Nunamaker

Member of the Graduate Faculty | Professor, Management Information Systems | Regents Professor | Professor, Communication | Director, Center for Management of Information | Professor, Computer Science

Management Information Systems

Collaboration(10)

Larry Head
Hsinchun Chen
Scott Sherman
John Allen
Sudha Ram

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Grants(13)

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Publications(337)

Recent

Detecting and Grouping Vulnerable Virtual Machines in Cloud Computing: A Multi-View Representation Learning Approach

2024

cloud computing, virtual machines, vulnerability detection, machine learning, security

Linking Hacker Exploits to a Cybersecurity Risk Management Framework: A Knowledge Distillation Approach

2024

cybersecurity, hacker exploits, risk management, knowledge distillation, framework

Special Issue: Information Systems, Artificial Intelligence, and Analytics to Support Value Creation in Communities and Organizations

2023

information systems, artificial intelligence, analytics, value creation, communities

Trust and Deception with High Stakes: Evidence from the Friend or Foe Dataset

2023

trust, deception, high stakes, evidence, dataset

Using Behavioral Features to Detect Malicious Insiders with Goal-Congruence Stimuli br

2023

cybersecurity, insider threats, behavioral analysis, malicious activities, detection techniques

D etecting Ulterior Motives from Verbal Cues in GrouDeliberations

2023

psychology, communication, deception, social interaction, group dynamics

How Credibility Assessment Technologies Affect Decision Fairness in Evidence-Based Investigations: A Bayesian Perspective

2023

credibility assessment, decision fairness, evidence-based investigations, bayesian perspective, technologies

Adversarial Attacks and Defense Against DeeLearning-Based Malware Detectors: A Language Modeling Approach

2023

adversarial attacks, defense, deep learning, malware detection, language modeling

DeeLearning for Information Systems Research

2022

deep learning, information systems, research, machine learning, artificial intelligence

Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach

2021

machine learning, healthcare, wearable technology, signal processing, fall prevention