The paper entitled "The Use of Background Features, Template Synthesis and Deep Neural Networks in Document Forgery Detection" proposes a system that examines the background features of a document to determine whether it has been manipulated or not, utilizing deep learning and computer vision techniques. The students presented their work virtually, followed by a Q&A session in which the audience expressed their interest in the topic and emphasized the importance of researching forgery detection in today's world.
The paper is now published, and can be viewed here,