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.

Abstract: A camera module includes an image sensor configured to output a plurality of image frames, a lens assembly disposed on the image sensor, the lens assembly including at least one lens unit disposed on an optical path and a variable filter unit configured to adjust the optical path of light incident on the image sensor from outside, a controller configured to generate a control signal to control the variable filter unit, and an image synthesizer configured to synthesize the plurality of image frames to generate a composite image, wherein the composite image has a higher resolution than the image frames, and wherein the plurality of image frames includes image frames generated along respectively different optical paths changed by the variable filter unit.

Abstract: A camera module includes an image sensor configured to output a plurality of image frames, a lens assembly disposed on the image sensor, the lens assembly including at least one lens unit disposed on an optical path and a variable filter unit configured to adjust the optical path of light incident on the image sensor from outside, a controller configured to generate a control signal to control the variable filter unit, and an image synthesizer configured to synthesize the plurality of image frames to generate a composite image, wherein the composite image has a higher resolution than the image frames, and wherein the plurality of image frames includes image frames generated along respectively different optical paths changed by the variable filter unit.