Abstract: Systems, apparatuses, methods, and computer program products are disclosed for detecting evidence of tampering in a digital document. An example method includes receiving by communications hardware, the digital document and determining, by tampering detection circuitry, a tampered region classification result for a region of the digital document. The example method further includes in an instance in which the tampered region classification result indicates tampering, providing, by the tampering detection circuitry, an indication of the region of the digital document and the tampered region classification result to a combination model and receiving, by the tampering detection circuitry, an overall tampering probability from the combination model.

Abstract: Out of office management is provided to an institution and customers of the institution. Employee data can be monitored of one or more employees of the institution. A likelihood an employee is out of office is determined. A set of projects of the employee that are affected by the out of office is determined. The projects are analyzed to determine departure scores for each project of the set of projects. The projects are ranked according to the departure scores to determine criticality of each project. The projects are reassigned based on the employee data and the ranking. Customer sentiments are monitored after reassignment for machine learning to affect future out of office reassignments.