1 citations · 2 across the 7 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…