2 papers
cs.CR2026
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.CR2026
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…