Events Calendar

PhD Thesis Proposal - Soumyaroop Nandi

Title: Context-Aware Semantic Forgery Detection in Biomedical and Natural Images
 


Committee: Dr. Premkumar Natarajan (Chair), Dr. Emilio Ferrara, Dr. Daniel O’Leary, Dr. Erdem Biyik, and Dr. Gale Lucas 
 


Abstract:Copy-move forgery is one of the most common and challenging forms of image manipulation, where regions within an image are duplicated and repositioned to conceal or falsify visual evidence. Detecting these manipulations becomes especially difficult in the case of semantic or context-aware forgeries, where duplicated content is strategically placed to mislead interpretation or alter meaning. This challenge is further compounded in specialized domains such as biomedical imaging, where image tampering can undermine scientific integrity by distorting experimental results. In the proposed thesis, we explore and develop state space model-based attention networks to advance the detection of copy-move and semantic image forgeries in both natural and biomedical images. We begin by introducing a visual state space modeling approach that uses normalized attention maps to locate and compare similar regions within an image. A region-based block-attention mechanism, integrated with this model, enables precise identification of manipulated and authentic areas, producing detailed localization maps of both the source and duplicated regions. To address the limitations of existing datasets, we propose a comprehensive copy-move forgery detection dataset designed to capture a wider range of sophisticated tampering techniques. Furthermore, we extend our methods to biomedical images, leveraging state space models as similarity detectors that focus on duplicated regions, enabling effective detection of manipulations that traditional models often fail to identify. This thesis aims to advance the field of semantic forgery detection by providing efficient and robust techniques for identifying both low-level pixel alterations and high-level, context-driven forgeries across diverse imaging applications.


 

Location: Ginsburg Hall (GCS) - 402C - 4th Floor

Audiences: Everyone Is Invited

Contact: Ellecia Williams

This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

Add to Google Calendar