most citedStabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2019★ 2 cited

Stabilizing Inputs to Approximated Nonlinear Functions for Inference with Homomorphic Encryption in Deep Neural Networks

Moustafa AboulAtta, Matthias Ossadnik, Seyed-Ahmad Ahmadi

Leveled Homomorphic Encryption (LHE) offers a potential solution that could allow sectors with sensitive data to utilize the cloud and securely deploy their models for remote infer…