Abstract: Provided is a method of providing an artificial intelligence (AI)-based service without exposure of personal information, which includes receiving, by a client apparatus, a user query, performing, by the client apparatus, preprocessing on the user query to replace a target word corresponding to personal information in the user query with a corresponding replacement word, transmitting, by the client apparatus, the preprocessed user query to a service server for providing an AI-based service, and replacing, by the client apparatus, the replacement word in an answer corresponding to the user query that is received from the service server with the target word corresponding thereto.

Abstract: Disclosed is a hidden data removal method based on an autoregressive generative model which is performed by a computer device. The hidden data removal method includes receiving a source image, randomly selecting a target pixel from the source image, and inputting the source image and an identifier of the target pixel to an autoregressive generative model and restoring the target pixel from the source image. The source image is an image in which steganography-based data is hidden, and the autoregressive generative model restores the target pixel on the basis of a pixel value distribution for pixels adjacent to the target pixel in the source image.

Abstract: Disclosed is a hidden data removal method based on an autoregressive generative model which is performed by a computer device. The hidden data removal method includes receiving a source image, randomly selecting a target pixel from the source image, and inputting the source image and an identifier of the target pixel to an autoregressive generative model and restoring the target pixel from the source image. The source image is an image in which steganography-based data is hidden, and the autoregressive generative model restores the target pixel on the basis of a pixel value distribution for pixels adjacent to the target pixel in the source image.