Method and apparatus with ciphertext training analysis model
AssigneeSamsung Sds Co., Ltd.
InventorsEun Kyung Kim, Hyo Jin Yoon, Ji Hoon Cho, Min Jung Kim, Young Seon Lee
Life of this patent
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Abstract
A method for training an analysis model according to an embodiment includes receiving synthetic data for original data from a client apparatus, determining a hyperparameter value for analysis model training using the synthetic data, receiving a ciphertext for the original data from the client apparatus, and training the analysis model using the determined hyperparameter value and the received cipher text.
Claims15
A processor-implemented method for training an analysis model, the method comprising:
- receiving synthetic data for original data from a client apparatus;
- determining a data preprocessing scheme to be applied to the original data for analysis model training using the synthetic data;
- determining a hyperparameter value for training analysis model using the synthetic data;
- receiving a ciphertext for the original data from the client apparatus;
- and
- training the analysis model using the determined hyperparameter value and the received ciphertext.
An apparatus for training an analysis model, comprising:
- one or more processors configured to execute instructions;
- and
- a memory storing the instructions, wherein execution of the instructions configures the processors to:
- receive synthetic data for original data from a client apparatus;
- determine, based on the synthetic data, a data preprocessing scheme to be applied to the original data for analysis model training;
- determine a hyperparameter value using the synthetic data;
- receive a ciphertext for the original data from the client apparatus;
- and
- train the analysis model using the determined hyperparameter value and the received ciphertext.
A method performed by a computing device in communication with a client device, the method comprising:
- receiving, from the client device, synthetic data having a same statistical characteristic as original data stored on the client device;
- based on receiving the synthetic data, determining a hyperparameter value of a neural network model that optimizes training of the neural network model;
- receiving from the client device a ciphertext generated by encryption of the original data;
- configuring the neural network model according to the hyperparameter value and training the neural network model based on the ciphertext.
Dependencies are inferred from the claim text.