Trust Prediction

Trust prediction research aims to understand and model how trust is established and evolves in various contexts, from human-machine interaction to social networks and sensor networks. Current research focuses on developing sophisticated models, including graph neural networks, attention-based mechanisms, and generative adversarial networks, to capture complex relationships and high-order correlations beyond simple pairwise interactions. These advancements are crucial for improving the reliability and security of autonomous systems, enhancing social network analysis, and building more robust and trustworthy Internet of Things applications. The ultimate goal is to create more accurate and adaptable trust prediction systems that can inform decision-making in diverse and dynamic environments.

Papers

September 13, 2024

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
Robert Kaufman, Emi Lee, Manas Satish Bedmutha, David Kirsh, Nadir Weibel
Machine Learning Autonomous Vehicle Appropriate Trust Personality Trait Psychological Trait Risk Preference Cognitive Profile Trust Prediction Diverse Driving

February 7, 2024

Adaptive Hypergraph Network for Trust Prediction
Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou
Hypergraph Neural Network Hypergraph Convolutional Network Trust Prediction

December 15, 2023

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
Minxue Niu, Zhaobo Zheng, Kumar Akash, Teruhisa Misu
Autonomous Vehicle Attention Based CNN LSTM Trust Prediction Human State Estimation

March 10, 2023

Papaya: Federated Learning, but Fully Decentralized
Ram M Kripa, Andy Zou, Ryan Jia, Kenny Huang
Federated Learning Peer Agent Virtual Network Peer Learning Banana Fruit Trust Prediction

February 22, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
Knowledge Graph Pairwise Relationship Trust Prediction Trust Evaluation

October 14, 2022

Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks
Liu Yang, Simon X. Yang, Yun Li, Yinzhi Lu, Tan Guo
Generative Adversarial Network Generative Adversarial Private Clustering Trust Mechanism Trust Prediction Intelligent Trust Cloud Management Method

Trust Prediction

Papers

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning

Adaptive Hypergraph Network for Trust Prediction

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles

Papaya: Federated Learning, but Fully Decentralized

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Generative Adversarial Learning for Trusted and Secure Clustering in Industrial Wireless Sensor Networks