Abstract: The present disclosure relates to a method and an apparatus for deleting training data of a deep learning model. The trained data deleting method according to an exemplary embodiment of the present disclosure includes calculating a result value for a label allocated to data to be deleted which is included in the training data; reallocating a label of the data to be deleted by comparing the result value; generating a neutralized model obtained by neutralizing the deep learning model with the data to be deleted and a reallocated label of the data to be deleted as inputs; and training the neutral model based on retrained data which is training data, excluding the data to be deleted, among the trained data.