collaborators

8 papers

cs.CR2026

RT-SHCUA: Real-Time Self-Hosted Computer-Use Agent for UAV Control

Di Lu, Bo Zhang, Xiyuan Li +5

Natural-language control offers a promising interface for unmanned aerial vehicles (UAVs), but directly applying self-hosted computer-use agents (SHCUAs) to UAV control introduces…

cs.DC2026

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,…

cs.CR2026

EBCC: Enclave-Backed Confidential Containers via OCI-Compatible Runtime Integration

Di Lu, Qingwen Zhang, Yujia Liu +4

Container runtimes provide a stable operational interface for deploying, monitoring, and controlling modern workloads, while trusted execution environments (TEEs) provide hardware-…

cs.CR2026

Constraining Host-Level Abuse in Self-Hosted Computer-Use Agents via TEE-Backed Isolation

Di Lu, Bo Zhang, Xiyuan Li +5

Self-hosted computer-use agents (SHCUAs), such as OpenClaw, combine natural-language interaction with direct access to host-side resources, including browsers, files, scripts, syst…

cs.CR2026

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)…

cs.CR2025

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…