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Longzhu He
Observed name:
He, Longzhu
Institutions:
Beijing University of Posts and Telecommunications,
Nanyang Technological University,
Harbin Institute of Technology
Observed institutions:
Beijing University of Posts and Telecommunications,
Nanyang Technological University,
Harbin Institute of Technology,
State Key Laboratory of Networking and Switching Technology
ORCID:
0009-0001-7842-6605
Observed ORCID:
0009-0001-7842-6605
OpenAlex ID:
A5113269092
Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation
2025
·
Longzhu He
, Peng Tang
, et al.
·
Information Processing & Management
·
45
Enforcing group fairness in privacy-preserving Federated Learning
2024
·
Chaomeng Chen
, Zhenhong Zhou
, et al.
·
Future Generation Computer Systems
·
11
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols
2026
·
Longzhu He
, Chaozhuo Li
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
3
Push and Pull : Defending against Retrieval Poisoning Attacks via Embedding Space Reshaping
2026
·
Longzhu He
, Xiyu Zhang
, et al.
·
ACM Transactions on Information Systems
·
2
Beyond the Textual: Generating Coherent Visual Options for MCQs
2025
·
Wanqiang Wang
, Longzhu He
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
2
PDF
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions
2024
·
Quan Liu
, Zhenhong Zhou
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
2
PDF
Conflict-Aware Multi-Agent Reasoning via Signed Graph Modeling
2026
·
He, Longgang
, He, Longzhu
, et al.
·
arXiv (Cornell University)
·
1
PDF
The Devil Within, The Cure Without: Securing Locally Private Graph Learning under Poisoning
2026
·
Longzhu He
, Peng Tang
, et al.
·
International World Wide Web Conference (WWW)
·
1
Concealing LLM-Based Multi-Agent Topology via Phantom Structure Injection
2026
·
He, Longzhu
, Wen, Zelang
, et al.
·
arXiv (Cornell University)
PDF
Trust-But-Verify: Poisoning-Resilient Locally Private Graph Learning Protocols
2026
·
He, Longzhu
, Sun, Li
, et al.
·
arXiv (Cornell University)
PDF
Auditing Privacy Risks in LLM-Enhanced Graph Neural Networks
2026
·
He, Longzhu
, Wen, Zelang
, et al.
·
arXiv (Cornell University)
PDF
Differentially Private Graph Learning: A Survey
2026
·
Longzhu He
, Li Sun
, et al.
·
Transactions on Graph Intelligence and Network Applications
PDF
Toward Personalized Differentially Private Learning for Decentralized Local Graphs
2026
·
Longzhu He
, Peng Tang
, et al.
·
IEEE Transactions on Knowledge and Data Engineering
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Works count:
13
Citation count:
67
H-index:
3
I10-index:
2
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