nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
Proceedings of the 16th ACM International Conference on Computing Frontiers, Volume abs/1810.10121, 2019.
deep learning homomorphic encryption intermediate representation
Homomorphic encryption (HE)---the ability to perform computation on encrypted data---is an attractive remedy to increasing concerns about data privacy in deep learning (DL). However, building DL models that operate on ciphertext is currently labor-intensive and requires simultaneous expertise in DL, cryptography, and software engineering....More
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