Trustworthy service composition with secure data transmission in sensor networks. - Tao Zhang 029; Lele Zheng; Yongzhi Wang 001; Yulong Shen 001; Ning Xi 002; Jianfeng Ma 001; Jianming Yong (World Wide Web, 2018)

Detection Method on the Privacy Leakage for Composite Services. - Xinghui Zhu; Chaojie Pan; Lele Zheng; Junshuai Sun (NaNA, 2019)

A Lightweight Auction Framework for Spectrum Allocation with Strong Security Guarantees. - Ke Cheng 001; Liangmin Wang 001; Yulong Shen 001; Yangyang Liu; Yongzhi Wang 001; Lele Zheng (INFOCOM, 2020)

Privacy-Preserving and Efficient Range Counting in IoT Networks. - Ruiyang Qin; Bowen Deng; Lele Zheng; Xutong Mu (NaNA, 2021)

A Secure and Fair Double Auction Framework for Cloud Virtual Machines. - Ke Cheng 001; Wei Tong 003; Lele Zheng; Jiaxuan Fu; Xutong Mu; Yulong Shen 001 (IEEE Access, 2021)

Towards Time-Sensitive and Verifiable Data Aggregation for Mobile Crowdsensing. - Tao Zhang 029; Xiongfei Song; Lele Zheng; Yani Han; Kai Zhang 044; Qi Li 011 (Secur. Commun. Networks, 2021)

OKV: Optimized Key-Value Data Collection with Local Differential Privacy. - Bowen Deng; Lele Zheng; Ze Tong; Jing Gao; Tao Zhang 029; Qi Li 011 (NaNA, 2022)

HyperMean: Effective Multidimensional Mean Estimation with Local Differential Privacy. - Tao Zhang 029; Bowen Deng; Lele Zheng; Ze Tong; Qi Li 011 (TrustCom, 2022)

Graph Analysis in Decentralized Online Social Networks with Fine-Grained Privacy Protection. - Lele Zheng; Bowen Deng; Tao Zhang 029; Yulong Shen 001; Yang Cao (CoRR, 2022)

LoCount: Long-distance Crowd Counting Based on LoRa Signal. - Sihan Ma; Xiangmao Chang; Yifan Zhang; Lele Zheng (MSN, 2023)

A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing. - Lele Zheng; Tao Zhang 029; Yulong Shen 001; Bowen Deng; Ze Tong (Mob. Networks Appl., 2023)

Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (DASFAA (1), 2024)

Extracting Spatiotemporal Data from Gradients with Large Language Models. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (CoRR, 2024)

Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. - Hao Du; Shang Liu 001; Lele Zheng; Yang Cao 011; Atsuyoshi Nakamura; Lei Chen (PAKDD (4), 2025)