220 citations · 268 across the 12 of their papers we have counts for
12 papers
Artificial Intelligence for Web 3.0: A Comprehensive Survey
Meng Shen, Zhehui Tan, Dusit Niyato +7
Web 3.0 is the new generation of the Internet that is reconstructed with distributed technology, which focuses on data ownership and value expression. Also, it operates under the p…
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
Machine learning (ML) based malicious traffic detection is an emerging security paradigm, particularly for zero-day attack detection, which is complementary to existing rule based…
Robust Attacks on Deep Learning Face Recognition in the Physical World
Meng Shen, Hao Yu, Liehuang Zhu +3
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which can…
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…
Research on the Security of Blockchain Data: A Survey
Liehuang Zhu, Baokun Zheng, Meng Shen +5
With the more and more extensive application of blockchain, blockchain security has been widely concerned by the society and deeply studied by scholars. Moreover, the security of b…
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…