10 citations · 15 across the 6 of their papers we have counts for
6 papers
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
Xuewen Dong, Jiachen Li, Shujun Li +4
Recent studies show that graph neural networks (GNNs) are vulnerable to backdoor attacks. Existing backdoor attacks against GNNs use fixed-pattern triggers and lack reasonable trig…
Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
Zhichao You, Xuewen Dong, Shujun Li +3
Reconstruction attacks against federated learning (FL) aim to reconstruct users' samples through users' uploaded gradients. Local differential privacy (LDP) is regarded as an effec…
HiCoCS: High Concurrency Cross-Sharding on Permissioned Blockchains
Lingxiao Yang, Xuewen Dong, Zhiguo Wan +3
As the foundation of the Web3 trust system, blockchain technology faces increasing demands for scalability. Sharding emerges as a promising solution, but it struggles to handle hig…
SHARE: Optimizing Secure Hub Allocation and Routing Efficiency in Payment Channel Networks
Lingxiao Yang, Xuewen Dong, Wei Wang +4
Payment channel hub (PCH), by leveraging a powerful hub to reliably provide off-chain payment services, offers an effective enhancement to payment channel networks (PCNs). However,…
AsyncSC: An Asynchronous Sidechain for Multi-Domain Data Exchange in Internet of Things
Lingxiao Yang, Xuewen Dong, Zhiguo Wan +5
Sidechain techniques improve blockchain scalability and interoperability, providing decentralized exchange and cross-chain collaboration solutions for Internet of Things (IoT) data…
Optimal Hub Placement and Deadlock-Free Routing for Payment Channel Network Scalability
Lingxiao Yang, Xuewen Dong, Sheng Gao +4
As a promising implementation model of payment channel network (PCN), payment channel hub (PCH) could achieve high throughput by providing stable off-chain transactions through pow…