Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach

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Yanan Bai, Hongbo Zhao, Xiaoyu Shi, Lin Chen

Published: 01 Jan 2025, Last Modified: 10 Nov 2025Comput. Methods Programs Biomed. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•This is the first work to address privacy and latency in CNN inference for medical imaging.•We propose PPCNN, a secure CNN framework combining homomorphic encryption and masking methods.•A coefficient-aware packing method optimizes computation and improves linear layer efficiency.•Extensive experiments show PPCNN outperforms state-of-the-art in time and communication costs.