5 citations · 5 across the 4 of their papers we have counts for
4 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…
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
Zhichao You, Xuewen Dong, Ke Cheng +5
Fine-tuning large language models (LLMs) raises privacy concerns due to the risk of exposing sensitive training data. Federated learning (FL) mitigates this risk by keeping trainin…
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,…
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…