HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

1 code implementation • 21 Mar 2024 • Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee

Although numerous previous studies proposed to use homomorphic encryption to resolve the data privacy issue in transfer learning in the machine learning as a service setting, most of them only focused on encrypted inference.

Privacy Preserving Transfer Learning