28 citations · 37 across the 11 of their papers we have counts for
11 papers
Label Inference Attacks against Federated Unlearning
Wei Wang, Xiangyun Tang, Yajie Wang +5
Federated Unlearning (FU) has emerged as a promising solution to respond to the right to be forgotten of clients, by allowing clients to erase their data from global models without…
S-Leak: Leakage-Abuse Attack Against Efficient Conjunctive SSE via s-term Leakage
Yue Su, Meng Shen, Cong Zuo +2
Conjunctive Searchable Symmetric Encryption (CSSE) enables secure conjunctive searches over encrypted data. While leakage-abuse attacks (LAAs) against single-keyword SSE have been…
Correlating Account on Ethereum Mixing Service via Domain-Invariant feature learning
Zheng Che, Taoyu Li, Meng Shen +2
The untraceability of transactions facilitated by Ethereum mixing services like Tornado Cash poses significant challenges to blockchain security and financial regulation. Existing…
Across-Platform Detection of Malicious Cryptocurrency Transactions via Account Interaction Learning
Zheng Che, Meng Shen, Zhehui Tan +6
With the rapid evolution of Web3.0, cryptocurrency has become a cornerstone of decentralized finance. While these digital assets enable efficient and borderless financial transacti…
EVeCA: Efficient and Verifiable On-Chain Data Query Framework Using Challenge-Based Authentication
Meng Shen, Yuzhi Liu, Qinglin Zhao +4
As blockchain applications become increasingly widespread, there is a rising demand for on-chain data queries. However, existing schemes for on-chain data queries face a challenge…
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…
IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks
Meng Shen, Zelin Liao, Liehuang Zhu +3
Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks. Existing methods that perfor…
Content-Based Multi-Source Encrypted Image Retrieval in Clouds with Privacy Preservation
Meng Shen, Guohua Cheng, Liehuang Zhu +2
Content-based image retrieval (CBIR) is one of the fundamental image retrieval primitives. Its applications can be found in various areas, such as art collections and medical diagn…