Scholar
Ruixuan Liu
Google Scholar ID: sXWB1UQAAAAJ
Emory University
machine learning
privacy-preserving
federated learning
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Citations & Impact
All-time
Citations
717
H-index
11
i10-index
12
Publications
20
Co-authors
10
list available
Publications
3 items
Auditing the Privacy of Synthetic Gene Expression Data: A Unified Weighted-Distance Framework for No-Box Membership Inference
2026
Cited
0
PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration
2026
Cited
0
Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs
2026
Cited
0
Co-authors
9 total
Hong Chen
Professor of computer science, Renmin University of China
Yang Cao
Institute of Science Tokyo (formerly Tokyo Tech)
Cuiping Li
Renmin University of China
Masatoshi Yoshikawa
Osaka Seikei University
Ruoyang Rykie Guo
Ph.D. Candidate, Department of Electrical and Computer Engineering, Stevens Institute of Technology
Li Xiong
Samuel Dobbs Professor, Computer Science, Biomedical Informatics, Emory University
Fangzhao Wu
Microsoft
Xing Xie 谢幸
Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF Fellow
