Patent ID: 9246978
Filing Date: 2016-01-26
CPC Classification: G06F,G06K,H04L

Claim Text:
1. A method for classifying data to determine hidden states of a system, comprising: randomly permuting the data, acquired from the system by a client, to generate permuted data; inserting, by the client, chaff in the permuted data to generate private data; transmitting, by the client to the server, the private data; classifying, by the server, each sample of the private data independently according, to a hidden Markov model (HMM) to obtain permuted noisy estimates of the states and the chaff; returning, by the server to the client, the permuted noisy estimates of the states and the chaff; removing, by the client, the chaff; inverting, by the client after removing the chaff, the permuted noisy estimates to obtain unpermuted noisy estimates of the states; and correcting errors, by the client, to obtain estimates of the hidden states.