Lele Zheng

22 papers A* 3B 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Differentially Private Subspace Fine-Tuning for Large Language Models.
AAAI
Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
2026 J jnl
Differentially Private Subspace Fine-Tuning for Large Language Models.
CoRR
Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
2026 J jnl
Knowledge concept cold-start approach for cognitive diagnosis.
Neurocomputing
Miao Zhang, Huihuan Li, Lele Zheng, Shunfeng Tan, Chao Yang, Kui Xiao, Zhifang Huang, Zhifei Li
2026 J jnl
When Convenience Becomes Risk: A Semantic View of Under-Specification in Host-Acting Agents.
CoRR
Di Lu, Yongzhi Liao, Xutong Mu, Lele Zheng, Ke Cheng, Xuewen Dong, Yulong Shen, Jianfeng Ma
2025 — conf
Alternating Aggregation Low-Rank Adaptation Approach for Federated Large Models.
ADMA (1)
Tao Zhang, Chao Zhang, Feiyang Yuan, Lele Zheng, Yiyun Guo
2025 A* conf
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation.
IJCAI
Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao
2025 — conf
Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions.
PAKDD (4)
Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2024 — conf
Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks.
DASFAA (1)
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 J jnl
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks.
CoRR
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 J jnl
Extracting Spatiotemporal Data from Gradients with Large Language Models.
CoRR
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 J jnl
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions.
CoRR
Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2023 J jnl
A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing.
Mob. Networks Appl.
Lele Zheng, Tao Zhang, Yulong Shen, Bowen Deng, Ze Tong
2023 — conf
LoCount: Long-distance Crowd Counting Based on LoRa Signal.
MSN
Sihan Ma, Xiangmao Chang, Yifan Zhang, Lele Zheng
2022 J jnl
Graph Analysis in Decentralized Online Social Networks with Fine-Grained Privacy Protection.
CoRR
Lele Zheng, Bowen Deng, Tao Zhang, Yulong Shen, Yang Cao
2022 B conf
HyperMean: Effective Multidimensional Mean Estimation with Local Differential Privacy.
TrustCom
Tao Zhang, Bowen Deng, Lele Zheng, Ze Tong, Qi Li
2022 — conf
OKV: Optimized Key-Value Data Collection with Local Differential Privacy.
NaNA
Bowen Deng, Lele Zheng, Ze Tong, Jing Gao, Tao Zhang, Qi Li
2021 J jnl
A Secure and Fair Double Auction Framework for Cloud Virtual Machines.
IEEE Access
Ke Cheng, Wei Tong, Lele Zheng, Jiaxuan Fu, Xutong Mu, Yulong Shen
2021 — conf
Privacy-Preserving and Efficient Range Counting in IoT Networks.
NaNA
Ruiyang Qin, Bowen Deng, Lele Zheng, Xutong Mu
2021 J jnl
Towards Time-Sensitive and Verifiable Data Aggregation for Mobile Crowdsensing.
Secur. Commun. Networks
Tao Zhang, Xiongfei Song, Lele Zheng, Yani Han, Kai Zhang, Qi Li
2020 A* conf
A Lightweight Auction Framework for Spectrum Allocation with Strong Security Guarantees.
INFOCOM
Ke Cheng, Liangmin Wang, Yulong Shen, Yangyang Liu, Yongzhi Wang, Lele Zheng
2019 — conf
Detection Method on the Privacy Leakage for Composite Services.
NaNA
Xinghui Zhu, Chaojie Pan, Lele Zheng, Junshuai Sun
2018 J jnl
Trustworthy service composition with secure data transmission in sensor networks.
World Wide Web
Tao Zhang, Lele Zheng, Yongzhi Wang, Yulong Shen, Ning Xi, Jianfeng Ma, Jianming Yong