19 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CR2024
New Permutation Decomposition Techniques for Efficient Homomorphic Permutation
Xirong Ma, Junling Fang, Chunpeng Ge +5
Homomorphic permutation is fundamental to privacy-preserving computations based on batch-encoding homomorphic encryption. It underpins nearly all homomorphic matrix operations and…
cs.CR2024★ 4 cited
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud Computing
Xirong Ma, Chuan Li, Yuchang Hu +5
The demand for processing vast volumes of data has surged dramatically due to the advancement of machine learning technology. Large-scale data processing necessitates substantial c…
cs.CR2023★ 19 cited
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication
Xirong Ma
Principal Component Analysis (PCA) is a pivotal technique widely utilized in the realms of machine learning and data analysis. It aims to reduce the dimensionality of a dataset whi…