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Wendy Hui Wang
Observed name:
Wang, Wendy Hui
Institution:
Stevens Institute of Technology
Observed institution:
Stevens Institute of Technology
ORCID:
0000-0002-3913-815X
Observed ORCID:
0000-0002-3913-815X
OpenAlex ID:
A5135292321
Differentially Private Federated Learning: A Systematic Review
2026
·
Jie Fu
, Yuan Hong
, et al.
·
ACM Computing Surveys
·
114
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
2026
·
Jie Fu
, Nima Naderloui
, et al.
·
IEEE European Symposium on Security and Privacy
·
2
In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning
2026
·
Shan Huang
, Zhijing Ye
, et al.
·
International Conference on Dependable Systems & Networks/Proceedings
·
1
Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
2026
·
Nan Cui
, Wendy Hui Wang
, et al.
·
Communications in computer and information science
·
1
PDF
Differentially Private GraphRAG: Protecting Relation Connectivity and Semantics
2026
·
Fu, Jie
, Hong, Yuan
, et al.
·
arXiv (Cornell University)
Timing is Everything: Inferring Temporal Membership in Continually Updated Models
2026
·
Fu, Jie
, Deng, Xiangpeng
, et al.
·
arXiv (Cornell University)
PDF
CARI: Cross-Boundary Adversarial Runtime Injection in Coding-Agent Workflows
2026
·
Fu, Jie
, Wu, Shuang
, et al.
·
arXiv (Cornell University)
PDF
Revisiting Privacy Risks in Quantized Deep Neural Networks
2026
·
Fu, Jie
, Li, Ren
, et al.
·
arXiv (Cornell University)
PDF
Noise-Calibrated Lossy Compression for Privacy Leakage Reduction in Federated Learning
2026
·
Shan Huang
, Zhijing Ye
, et al.
·
IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW)
Demystifying Differentially Private Quantization in Federated Learning
2026
·
Shan Huang
, Zhijing Ye
, et al.
·
IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)
REDaCT: Collapse-Free Unlearning in Large Reasoning Models
2026
·
Joshua Maccoby
, Wendy Hui Wang
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Towards Fine-grained and Robust Detection of Human–AI Co-authorship
2026
·
Ziruo Zhao
, Jie Fu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
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Works count:
14
Citation count:
118
H-index:
2
I10-index:
1
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