A Tree-Based CP-ABE Scheme with Hidden Policy Supporting Secure Data Sharing in Cloud Computing. - Runhua Xu; Yang Wang; Bo Lang (CBD, 2013)

Self-contained Data Protection Scheme Based on CP-ABE. - Bo Lang; Runhua Xu; Yawei Duan (ICETE (Selected Papers), 2013)

Extending the Ciphertext-Policy Attribute Based Encryption Scheme for Supporting Flexible Access Control. - Bo Lang; Runhua Xu; Yawei Duan (SECRYPT, 2013)

Tell Me What to Eat - Design and Evaluation of a Mobile Companion Helping Children and Their Parents to Plan Nutrition Intake. - Runhua Xu; Irena Pletikosa Cvijikj; Tobias Kowatsch; Florian Michahelles; Dirk Büchter; Björn Brogle; Anneco Dintheer; Dagmar L'Allemand; Wolfgang Maass 002 (AmI, 2014)

Design of a Health Information System Enhancing the Performance of Obesity Expert and children Teams. - Tobias Kowatsch; Wolfgang Maass 002; Irena Pletikosa Cvijikj; Dirk Büchter; Björn Brogle; Anneco Dintheer; Dunja Wiegand; Dominique Durrer-Schutz; Runhua Xu; Yves Schutz; Dagmar L'Allemand-Jander (ECIS, 2014)

Product as a Service: Enabling Physical Products as Service End-Points. - Runhua Xu; Alexander Ilic (ICIS, 2014)

Measuring and Mitigating Product Data Inaccuracy in Online Retailing. - Runhua Xu; Alexander Ilic (WISE (2), 2014)

Towards Understanding the Impact of Personality Traits on Mobile App Adoption - A Scalable Approach. - Runhua Xu; Remo M. Frey; Denis Vuckovac; Alexander Ilic (ECIS, 2015)

Reality-Mining with Smartphones: Detecting and Predicting Life Events based on App Installation Behavior. - Remo M. Frey; Runhua Xu; Alexander Ilic (ICIS, 2015)

A CP-ABE scheme with hidden policy and its application in cloud computing. - Runhua Xu; Bo Lang (Int. J. Cloud Comput., 2015)

An Integrated Privacy Preserving Attribute Based Access Control Framework. - Runhua Xu; James B. D. Joshi (CLOUD, 2016)

Individual Differences and Mobile Service Adoption: An Empirical Analysis. - Runhua Xu; Remo Manuel Frey; Alexander Ilic (BigDataService, 2016)

A lightweight user tracking method for app providers. - Remo Manuel Frey; Runhua Xu; Alexander Ilic (Conf. Computing Frontiers, 2016)

Enabling Attribute Based Encryption as an Internet Service. - Runhua Xu; James B. D. Joshi (CIC, 2016)

Understanding the impact of personality traits on mobile app adoption - Insights from a large-scale field study. - Runhua Xu; Remo Manuel Frey; Elgar Fleisch; Alexander Ilic (Comput. Hum. Behav., 2016)

Mobile recommendations based on interest prediction from consumer's installed apps-insights from a large-scale field study. - Remo Manuel Frey; Runhua Xu; Christian Ammendola; Omar Moling; Giuseppe Giglio; Alexander Ilic (Inf. Syst., 2017)

Mobile app adoption in different life stages: An empirical analysis. - Remo Manuel Frey; Runhua Xu; Alexander Ilic (Pervasive Mob. Comput., 2017)

QueryGuard: Privacy-Preserving Latency-Aware Query Optimization for Edge Computing. - Runhua Xu; Balaji Palanisamy; James Joshi (TrustCom/BigDataSE, 2018)

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; Heiko Ludwig (AISec@CCS, 2019)

CryptoNN: Training Neural Networks over Encrypted Data. - Runhua Xu; James B. D. Joshi; Chao Li 023 (ICDCS, 2019)

Scalable and Privacy-Preserving Design of On/Off-Chain Smart Contracts. - Chao Li 023; Balaji Palanisamy; Runhua Xu (ICDE Workshops, 2019)

NF-Crowd: Nearly-free Blockchain-based Crowdsourcing. - Chao Li 023; Balaji Palanisamy; Runhua Xu; Jian Wang 071; Jiqiang Liu (SRDS, 2020)

Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions. - Runhua Xu; James Joshi (TPS-ISA, 2020)

Trustworthy and Transparent Third-party Authority. - Runhua Xu; James Joshi (ACM Trans. Internet Techn., 2020)

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; James Joshi; Heiko Ludwig (AISec@CCS, 2021)

SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform. - Chao Li 023; Balaji Palanisamy; Runhua Xu; Jinlai Xu; Jingzhe Wang (CODASPY, 2021)

T3AB: Transparent and Trustworthy Third-party Authority using Blockchain. - Runhua Xu; Chao Li 023; James Joshi (CoRR, 2021)

Privacy-Preserving Machine Learning: Methods, Challenges and Directions. - Runhua Xu; Nathalie Baracaldo; James Joshi (CoRR, 2021)

An Integrated Privacy Preserving Attribute-Based Access Control Framework Supporting Secure Deduplication. - Runhua Xu; James Joshi; Prashant Krishnamurthy (IEEE Trans. Dependable Secur. Comput., 2021)

Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose? - Nathalie Baracaldo; Runhua Xu (Federated Learning, 2022)

Privacy-Preserving Vertical Federated Learning. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Annie Abay; Ali Anwar 001 (Federated Learning, 2022)

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. - Runhua Xu; Nathalie Baracaldo; Yi Zhou 015; Ali Anwar 001; Swanand Kadhe; Heiko Ludwig (CLOUD, 2022)

NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets. - Runhua Xu; James Joshi; Chao Li 023 (IEEE Trans. Dependable Secur. Comput., 2022)

Cross-Consensus Measurement of Individual-level Decentralization in Blockchains. - Chao Li 023; Balaji Palanisamy; Runhua Xu; Li Duan (BigDataSecurity/HPSC/IDS, 2023)

Liquid Democracy in DPoS Blockchains. - Chao Li 023; Runhua Xu; Li Duan (BSCI, 2023)

How Hard is Takeover in DPoS Blockchains? Understanding the Security of Coin-based Voting Governance. - Chao Li 023; Balaji Palanisamy; Runhua Xu; Li Duan; Jiqiang Liu; Wei Wang 012 (CCS, 2023)

Characterizing Coin-Based Voting Governance in DPoS Blockchains. - Chao Li 023; Runhua Xu; Li Duan (ICWSM, 2023)

Blockchain-Based Transparency Framework for Privacy Preserving Third-Party Services. - Runhua Xu; Chao Li 023; James Joshi (IEEE Trans. Dependable Secur. Comput., 2023)

Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning. - Runhua Xu; Shiqi Gao; Chao Li 023; James Joshi; Jianxin Li 002 (NeurIPS, 2024)

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning. - Runhua Xu; Bo Li 005; Chao Li 023; James B. D. Joshi; Shuai Ma 001; Jianxin Li 002 (IEEE Trans. Dependable Secur. Comput., 2024)

PE-Attack: On the Universal Positional Embedding Vulnerability in Transformer-Based Models. - Shiqi Gao; Haoyi Zhou; Tianyu Chen; Mingrui He; Runhua Xu; Jianxin Li 002 (IEEE Trans. Inf. Forensics Secur., 2024)

FLUE: Streamlined Uncertainty Estimation for Large Language Models. - Shiqi Gao; Tianxiang Gong; Zijie Lin; Runhua Xu; Haoyi Zhou; Jianxin Li 002 (AAAI, 2025)

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation. - Qianren Mao; Qili Zhang; Hanwen Hao; Zhentao Han; Runhua Xu; Weifeng Jiang; Qi Hu; Zhijun Chen; Tyler Zhou; Bo Li 005; Yangqiu Song; Jin Dong; et al. (CoRR, 2025)

Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning. - Zhiyong Jin; Runhua Xu; Chao Li; Yizhong Liu; Jianxin Li (CoRR, 2025)

DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for Connected Autonomous Vehicles. - Xingchen Sun; Runhua Xu; Wei Ni 001; Li Duan; Chao Li 023 (CoRR, 2025)

Blockchain Takeovers in Web 3.0: An Empirical Study on the TRON-Steem Incident. - Chao Li 023; Runhua Xu; Balaji Palanisamy; Li Duan; Meng Shen 001; Jiqiang Liu; Wei Wang 012 (ACM Trans. Web, 2025)