5 papers
Arca: A Lightweight Confidential Container Architecture for Cloud-Native Environments
Di Lu, Mengna Sun, Qingwen Zhang +5
Confidential containers protect cloud-native workloads using trusted execution environments (TEEs). However, existing Container-in-TEE designs (e.g., Confidential Containers (CoCo)…
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…
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…
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…