Patent ID: 11949770
Assignee: COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 12:
13. A method for confidentially classifying data using an artificial neural network and a classifier, wherein the artificial neural network is trained during a learning phase on data vectors of a learning base, and the artificial neural network or a copy thereof transforms, in an operational phase, input data vectors into discriminative characteristic vectors, said discriminative characteristic vectors being provided to the classifier and having a size smaller than that of the data vectors, said method comprising:

during an initialisation phase of the classifier, storing in a reference base reference characteristic vectors obtained by transforming, using the artificial neural network or the copy, reference data vectors, the reference characteristic vectors being stored in encrypted form by a public key of a homomorphic cryptosystem of the user; and

after the initialisation phase, when the user requests classification of an input data vector from the classification platform, a classification function is evaluated by the classifier in a homomorphic domain, from a discriminative characteristic vector (y) provided by the artificial neural network and the reference vectors stored in encrypted form in the reference base (Enc(yiref,HE.pk), i=1, . . . , N), a result of the evaluation being transmitted to the user.