Removal of sensitive data from documents for use as training sets

A system for use in replacing sensitive data in a document, the system comprising:

• a non-transitory storage medium storing computer-readable instructions thereon;
• and at least one processor operatively connected to the non-transitory storage medium, the at least one processor, upon executing the computer-readable instructions, being configured for:
• receiving an initial image of said document and for applying at least one change to said initial image to result in a sanitized image by:
• using a trained convolutional neural network, determining areas comprising sensitive data in the initial image of the document by delineating the areas;
• using the trained convolutional neural network, determining at least one type of sensitive data in the areas comprising the sensitive data;
• and
• using a trained generative adversarial network, generating, based on the at least one type of sensitive data, suitable replacement data for the sensitive data for applying the at least one change to obtain the sanitized image of said document;
• sending said sanitized image of said document to a user for validation and for receiving feedback from said user;
• wherein:
• said feedback comprises at least one addition of a delineation of sensitive data that has not been removed or replaced in said initial image;
• said feedback is used for further training at least one of said trained convolutional neural network and said trained generative adversarial network;
• and
• said at least one change includes an effective removal or a replacement of said sensitive data in said document.

A method for replacing sensitive data in a document, the method being executed by at least one processor, the method comprising:

• a) receiving an initial version of said document;
• b) applying at least one change to said initial version to result in a sanitized version of said document by:
• using a trained convolutional neural network, determining areas comprising sensitive data in the initial version of the document by delineating the areas;
• using the trained convolutional neural network, determining at least one type of sensitive data in the areas comprising the sensitive data;
• and
• using a trained generalive adversarial network, generating, based on the at least one type of sensitive data, suitable replacement data for the sensitive data for applying the at least one change to obtain the sanitized version of said document;
• c) sending said sanitized version to a user for validation;
• d) receiving user feedback regarding said sanitized version;
• e) using said user feedback to further train at least one of said trained convolutional neural network and said trained generative adversarial network;
• wherein said feedback used in step e) comprises at least one addition of a delineation of sensitive data that has not been removed or replaced in said initial version;
• wherein said at least one change includes an effective removal or a replacement of said sensitive data in said document.