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GuardML: Efficient Privacy-Preserving Machine Learning Services Through
  Hybrid Homomorphic Encryption

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

26 January 2024
E. Frimpong
Khoa Nguyen
Mindaugas Budzys
Tanveer Khan
A. Michalas
ArXivPDFHTML

Papers citing "GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption"

3 / 3 papers shown
Title
Ramp Up NTT in Record Time using GPU-Accelerated Algorithms and LLM-based Code Generation
Ramp Up NTT in Record Time using GPU-Accelerated Algorithms and LLM-based Code Generation
Yu Cui
Hang Fu
Licheng Wang
Haibin Zhang
46
0
0
16 Feb 2025
A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving
  Machine Learning Through Hybrid Homomorphic Encryption
A Pervasive, Efficient and Private Future: Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption
Khoa Nguyen
Mindaugas Budzys
E. Frimpong
Tanveer Khan
A. Michalas
25
0
0
10 Sep 2024
Wildest Dreams: Reproducible Research in Privacy-preserving Neural
  Network Training
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Tanveer Khan
Mindaugas Budzys
Khoa Nguyen
A. Michalas
48
3
0
06 Mar 2024
1