CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU
CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Homomorphic encryption (HE) and garbled circuit (GC) provide the protection for users’ privacy. However, simply mixing the HE and GC in RNN models suffer from long inference latency due to slow activation functions. In this paper, we present a novel hybrid structure of HE and GC gated recurrent unit (GRU) …