Proof of Work can Work. - Debin Liu; L. Jean Camp (WEIS, 2006)

Phishing IQ Tests Measure Fear, Not Ability. - Vivek Anandpara; Andrew Dingman; Markus Jakobsson; Debin Liu; Heather Roinestad (Financial Cryptography, 2007)

Mental Models of Security Risks. - Farzaneh Asgharpour; Debin Liu; L. Jean Camp (Financial Cryptography, 2007)

Mental Models of Computer Security Risks. - Farzaneh Asgharpour; Debin Liu; L. Jean Camp (WEIS, 2007)

Game-theoretic modeling and analysis of insider threats. - Debin Liu; XiaoFeng Wang 001; L. Jean Camp (Int. J. Crit. Infrastructure Prot., 2008)

Mitigating Inadvertent Insider Threats with Incentives. - Debin Liu; XiaoFeng Wang 001; L. Jean Camp (Financial Cryptography, 2009)

Using Budget-Based Access Control to Manage Operational Risks Caused by Insiders. - Debin Liu; L. Jean Camp; XiaoFeng Wang 001; Lusha Wang (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2010)

Beyond Risk-Based Access Control: Towards Incentive-Based Access Control. - Debin Liu; Ninghui Li; XiaoFeng Wang 001; L. Jean Camp (Financial Cryptography, 2011)

Security Risk Management Using Incentives. - Debin Liu; Ninghui Li; XiaoFeng Wang 001; L. Jean Camp (IEEE Secur. Priv., 2011)

Fuzzy data envelopment analysis models with assurance regions: A note. - Zhongbao Zhou; Siya Lui; Chaoqun Ma; Debin Liu; Wenbin Liu (Expert Syst. Appl., 2012)

Game Cross Efficiency for Systems with Two-Stage Structures. - Chaoqun Ma; Debin Liu; Zhongbao Zhou; Wei Zhao; Wenbin Liu (J. Appl. Math., 2014)

Combining convolutional neural network and self-adaptive algorithm to defeat synthetic multi-digit text-based CAPTCHA. - Ye Wang 006; Yuanjiang Huang; Wu Zheng; Zhi Zhou 006; Debin Liu; Mi Lu (ICIT, 2017)

Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems. - Debin Liu; Laurence T. Yang; Ruonan Zhao; Jiawei Wang; Xia Xie (IEEE Trans. Intell. Transp. Syst., 2022)

A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Xianjun Deng; Yijun Mo (IEEE Trans. Intell. Transp. Syst., 2022)

TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. - Debin Liu; Laurence T. Yang; Puming Wang; Ruonan Zhao; Qingchen Zhang (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Plug-and-Play Multi-class Lane Detection Module. - Qiankun Li; Huabao Chen; Debin Liu; Zengyu Qiu; Zengfu Wang (AMC-SME, 2023)

Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems. - Laurence T. Yang; Ruonan Zhao; Debin Liu; Wanli Lu; Xianjun Deng (IEEE Commun. Surv. Tutorials, 2023)

Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space-Air-Ground-Integrated IoT. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Wanli Lu (IEEE Internet Things J., 2023)

An Efficient Tensor-Based Transformer for Industrial Internet of Things. - Debin Liu; Laurence T. Yang; Ruonan Zhao; Jinhua Cui 001; Xiangli Yang (IEEE Trans. Netw. Sci. Eng., 2024)

Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Wanli Lu; Chenlu Zhu; Yiheng Ruan (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Tensor-Based Secure Truthful Incentive Mechanism for Mobile Crowdsourcing in IoT-Enabled Maritime Transportation Systems. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Xianjun Deng; Xueming Tang; Sahil Garg (IEEE Trans. Intell. Transp. Syst., 2024)

A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Xiaokang Zhou; Xianjun Deng; Xueming Tang (IEEE Trans. Intell. Transp. Syst., 2024)