Hui Wang

Stevens Institute of Technology — United States

Computer Science · Physical Sciences

20h-index1.6kcitations128works2.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Privacy-Preserving Technologies in Data(61), Cryptography and Data Security(29), Adversarial Robustness in Machine Learning(15), Privacy, Security, and Data Protection(14), Advanced Graph Neural Networks(13)

Publications126 total

Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions
Artificial Intelligence Review·2025Open Access
Safeguarding Graph Neural Networks against Topology Inference Attacks
2025Open Access
GrafAnc: Reliable and reproducible inference of continental and regional population structure
Human Genetics and Genomics Advances·2025Open Access
Safeguarding Graph Neural Networks against Topology Inference Attacks
arXiv (Cornell University)·2025Open Access
Verification of Incomplete Graph Unlearning through Adversarial Perturbations
2025· 1 citedOpen Access
Blackbox Dataset Inference for LLM
ArXiv.org·2025· 1 citedOpen Access
A novel imputation approach for power load time series data based on tsDatawig
Scientific Reports·2025Open Access
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
arXiv (Cornell University)·2025Open Access
Integrative multi-omics reveal NSUN2 facilitates glycolysis and histone lactylation-driven immune evasion in renal carcinoma
Genes and Immunity·2025· 3 cited
Audit Data Analysis and Risk Identification based on Generative Artificial Intelligence Technology
2025· 1 cited
Construction of EMU Fault Knowledge Graph Based on Large Language Model
Lecture notes in computer science·2025
Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution
2024· 3 cited
On the Integration and Application of New Media Technology and Advertising Design
Research and commentary on humanities and arts.·2024· 1 citedOpen Access
Subgraph Structure Membership Inference Attacks against Graph Neural Networks
Proceedings on Privacy Enhancing Technologies·2024· 1 citedOpen Access
GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning
Proceedings on Privacy Enhancing Technologies·2024· 3 citedOpen Access
Revisiting Black-box Ownership Verification for Graph Neural Networks
2024· 3 cited
Differentially Private Federated Learning: A Systematic Review
arXiv (Cornell University)·2024· 9 citedOpen Access
Efficient privacy-preserving Gaussian process via secure multi-party computation
Journal of Systems Architecture·2024· 4 cited
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 3 citedOpen Access
Personalized trajectory privacy data publishing scheme based on differential privacy
Internet of Things·2024· 10 cited
page 1 of 7Next →

Frequent Co-authors

Haipei Sun(7), Ruilin Liu(7), Boxiang Dong(6), Yue Ning(5), Laks V. S. Lakshmanan(4), Xiuling Wang(4), Yanying Li(4), Anna Monreale(3), Dino Pedreschi(3), Junjie Chen(3), Xinghua Shi(3), Francesco Bonchi(2), Jie Xu(2), Yunyu Xiao(2), Elizabeth Shenkman(2), Jiang Bian(2), Fei Wang(2), Fosca Giannotti(2), Issa Khalil(2), Zhan Qin(2)