1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CR2020★ 1 cited
Privacy-Preserving Machine Learning Training in Aggregation Scenarios
Liehuang Zhu, Xiangyun Tang, Meng Shen +2
To develop Smart City, the growing popularity of Machine Learning (ML) that appreciates high-quality training datasets generated from diverse IoT devices raises natural questions a…
cs.CR2018
When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection
Xiangyun Tang, Liehuang Zhu, Meng Shen +1
Machine learning (ML) classifiers are invaluable building blocks that have been used in many fields. High quality training dataset collected from multiple data providers is essenti…
cs.NI2018
Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks
Liehuang Zhu, Xiangyun Tang, Meng Shen +2
Existing distributed denial-of-service attack detection in software defined networks (SDNs) typically perform detection in a single domain. In reality, abnormal traffic usually aff…