5 papers
AVPKEET: Exact-Request Authorization and Publicly Verifiable Equality Testing over Encrypted Data
Xiuping Li, Kaiwen Wang, Xiaolin Chang
In cloud storage, cryptographic techniques are commonly used to support secure search and matching while protecting users' data privacy. Public-key encryption with equality test (P…
Efficient Multi-Party Secure Comparison over Different Domains with Preprocessing Assistance
Kaiwen Wang, Xiaolin Chang, Yuehan Dong +1
Secure comparison is a fundamental primitive in multi-party computation, supporting privacy-preserving applications such as machine learning and data analytics. A critical performa…
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…
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…
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…