Abstract: A model parameters security protection method is implemented in a computing device in communication connection with at least one security protection device. The method includes training a data model based on an artificial neural network using a number of images and obtaining parameter information of the data model, encrypting the parameter information and generating a configuration file comprising the encrypted parameter information, and sending the configuration file to the at least one security protection device. The parameter information includes at least one of a weight of neuron and an offset value of the neuron of the artificial neural network.

Abstract: A device, a method and a storage medium for accelerating activation function in relation to data processing by artificial neural network provides a register for storing a storage table, a matching unit including a plurality of comparators, a logic unit, and a selection unit. The comparators compare an input variable of the activation function with the variable intervals of the activation function to obtain a comparison output result, the logic unit performs a logical operation according to the comparison output result to obtain a logic output result and determines a variable interval to be calculated according to the logic output. The selection unit queries the storage table according to the variable interval to be calculated and obtains parameters of fitted quadratic function. A calculation unit performs calculations on the input variable according to the parameters.

Abstract: A model parameters security protection method is implemented in a computing device in communication connection with at least one security protection device. The method includes training a data model based on an artificial neural network using a number of images and obtaining parameter information of the data model, encrypting the parameter information and generating a configuration file comprising the encrypted parameter information, and sending the configuration file to the at least one security protection device. The parameter information includes at least one of a weight of neuron and an offset value of the neuron of the artificial neural network.