10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CR2026
AEGIS: Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems
Zhaoting Gong, Ran Ran, Fan Yao +1
Fully Homomorphic Encryption (FHE) enables privacy-preserving Transformer inference, but long-sequence encrypted Transformers quickly exceed single-GPU memory capacity because enco…
cs.CR2026
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
Yang Gao, Gang Quan, Wujie Wen +3
Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and machine learning. When the data being processed are sensitive, pre…
cs.CR2024★ 10 cited
Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption
Yang Gao, Gang Quan, Soamar Homsi +2
Despite the cloud enormous technical and financial advantages, security and privacy have always been the primary concern for adopting cloud computing facility, especially for gover…