activity
20232026
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7 papers · 1 filter

cs.CR2025

Towards Reliable Service Provisioning for Dynamic UAV Clusters in Low-Altitude Economy Networks

Yanwei Gong, Ruichen Zhang, Xiaoqing Wang +5

Unmanned Aerial Vehicle (UAV) cluster services are crucial for promoting the low-altitude economy by enabling scalable, flexible, and adaptive aerial networks. To meet diverse serv…

cs.CR2025

Efficient and High-Accuracy Private CNN Inference with Helper-Assisted Malicious Security

Kaiwen Wang, Xiaolin Chang, Junchao Fan +1

Machine Learning as a Service (MLaaS) exposes sensitive client data to service providers. Private inference mitigates this risk while preserving model functionality. Despite extens…

cs.CR2024

Towards Lightweight and Privacy-preserving Data Provision in Digital Forensics for Driverless Taxi

Yanwei Gong, Xiaolin Chang, Jelena Mišić +3

Data provision, referring to the data upload and data access, is one key phase in vehicular digital forensics. The unique features of Driverless Taxi (DT) bring new issues to this…

cs.CR2024

A2E: Attribute-based Anonymity-Enhanced Authentication for Accessing Driverless Taxi Service

Yanwei Gong, Xiaolin Chang, Jelena Mišić +1

Driverless vehicle as a taxi is gaining more attention due to its potential to enhance urban transportation efficiency. However, both unforeseen incidents led by unsupervised physi…

cs.CR2024

MBCT: A Monero-Based Covert Transmission Approach with On-chain Dynamic Session Key Negotiation

Zhenshuai Yue, Haoran Zhu, Xiaolin Chang +3

Traditional covert transmission (CT) approaches have been hindering CT application while blockchain technology offers new avenue. Current blockchain-based CT approaches require off…

cs.CR2024

Towards Trust Proof for Secure Confidential Virtual Machines

Jingkai Mao, Haoran Zhu, Junchao Fan +2

The Virtual Machine (VM)-based Trusted-Execution-Environment (TEE) technology, like AMD Secure-Encrypted-Virtualization (SEV), enables the establishment of Confidential VMs (CVMs)…

cs.CR2023

PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning

Jianhua Wang, Xiaolin Chang, Jelena Mišić +3

Recently, big data has seen explosive growth in the Internet of Things (IoT). Multi-layer FL (MFL) based on cloud-edge-end architecture can promote model training efficiency and mo…