METHOD AND SYSTEM FOR PROTECTING AUTHENTICITY OF IMAGES GENERATED BY MACHINE LEARNING MODEL Russian patent published in 2024 - IPC G06F21/16 G06T1/00 

FIELD: means of protecting digital data.

SUBSTANCE: invention relates to means of protecting digital data for purposes of authenticating them. Method of protecting authenticity of images generated based on a text request by a machine learning model comprises steps of: obtaining user input data for generating an image; generating an image using a machine learning model; recording user input data containing: input time, user ID and text query; generating an attachment for protecting the generated image, consisting of said data; generating an encrypted sequence by encrypting attachment data; embedding into coefficients of discrete cosine transformation of generated image values of hash function and encrypted sequence; providing a protected image to a user.

EFFECT: broader functional capabilities for protecting images generated by AI for purposes of determining their authenticity, which consist in attribution of the image as created using a machine learning model, the identifier of the user who generated the request for generating the image, and the request text itself.

8 cl, 9 dwg