Detection Methods against Digital Image Attacks for Secure Computer Vision

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dc.contributor.authorChiranjeevi, Sadu
dc.date.accessioned2024-07-03T07:00:35Z
dc.date.available2024-07-03T07:00:35Z
dc.date.issued2023
dc.descriptionSupervisor: Das, Pradip Ken_US
dc.description.abstractIn today's digital age, our everyday life is filled with digital multimedia data as one of the primary forms for communication. As a result, Computer Vision (CV) systems supported by Machine Learning (ML) and Deep Learning (DL) techniques are now pervasive to process such multimedia. However, with modern technologies in sophisticated editing tools and DL models, it becomes a critical task to protect CV systems from digital image attacks. This thesis focuses on detecting a spectrum of digital attacks at the image level.en_US
dc.identifier.otherROLL NO.146101026
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2667
dc.language.isoenen_US
dc.relation.ispartofseriesTH-3112
dc.subjectDigital Imagesen_US
dc.subjectDigital Image Attacksen_US
dc.subjectFace Swap Attacksen_US
dc.subjectCopy-move Forgery Attacksen_US
dc.subjectAdversarial Attacksen_US
dc.subjectDetection Methodsen_US
dc.subjectComputer Visionen_US
dc.titleDetection Methods against Digital Image Attacks for Secure Computer Visionen_US
dc.typeThesisen_US
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PhD Theses (Computer Science and Engineering)