Encoding and concealing information using deep learning

A device, comprising:

• a processing system including a processor;
• and
• a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
• performing a training procedure for a deep learning model, the training procedure comprising:
• encoding a first content item, thereby generating first encoded content,
• generating a first blended image by combining a first background image and the first encoded content, wherein the first background image is randomly selected,
• calculating a first calculated loss determined by a first matrix representing the first background image and a second matrix representing the first blended image,
• decoding the first blended image, thereby generating decoded content corresponding to the first content item,
• calculating a second calculated loss determined by a third matrix representing the first content item and a fourth matrix representing the decoded content, and a loss function determined in accordance with the first calculated loss and the second calculated loss, and
• determining values of parameters for the deep learning model to minimize the loss function, thereby obtaining a trained deep learning model;
• and
• performing an information concealing procedure using the trained deep learning model, the information concealing procedure comprising:
• encoding a second content item, thereby generating second encoded content, and
• generating a second blended image by combining a second background image and the second encoded content,
• wherein the information concealing procedure is substantially independent of the second background image.

A non-transitory machine-readable medium comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• performing a training procedure for a deep learning model, the training procedure comprising:
• encoding a first content item, thereby generating first encoded content,
• generating a first blended image by combining a first background image and the first encoded content,
• calculating a first calculated loss determined by a first matrix representing the first background image and a second matrix representing the first blended image,
• decoding the first blended image, thereby generating decoded content corresponding to the first content item,
• calculating a second calculated loss determined by a third matrix representing the first content item and a fourth matrix representing the decoded content, and a loss function determined in accordance with the first calculated loss and the second calculated loss, and
• determining values of parameters for the deep learning model to minimize the loss function, thereby obtaining a trained deep learning model;
• and
• performing an information concealing procedure using the trained deep learning model, the information concealing procedure comprising:
• encoding a second content item, thereby generating second encoded content, and
• generating a second blended image by combining a user-selected second background image and the second encoded content,
• wherein the information concealing procedure is substantially independent of the second background image.