GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024（2024）
Key words
Hybrid Homomorphic Encryption,Machine Learning as a Service,Privacy-Preserving Machine Learning
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