Security of Text to Image Conversions

dc.contributor.advisorSilaghi, Marius
dc.contributor.authorAlssadi, Zobaida
dc.date.accessioned2023-08-17T06:12:04Z
dc.date.available2023-08-17T06:12:04Z
dc.date.issued2023-07-27
dc.description.abstractThe use of images and icons to represent news or narratives has grown in popularity. Still, one critical problem is that they are not equivalent to language, making them vulnerable to adversary attacks. This study examines the impact of image-poisoning attacks based on polysemantic words and of image attacks based on cultural differences when converting text to images. Such attacks can lead to the loss of important information and create confusion and incorrect interpretations of the intended meaning, misinforming the general public. The study specifically focuses on possible effects in a news and story context. This study highlights the significance of taking security considerations into account when image-based attacks are relevant and motivates the development of strategies to ensure that information is conveyed through images and icons in a culturally appropriate and accurate manner, as well as to prevent image tampering and the spread of false information by attackers.
dc.format.extent118
dc.identifier.citationAlssadi, Zobaida, "Security of Text to Image Conversions" (2023). Theses and Dissertations. 1314. https://repository.fit.edu/etd/1314
dc.identifier.urihttps://hdl.handle.net/20.500.14154/68918
dc.language.isoen_US
dc.subjectImages
dc.subjectIcons
dc.subjectAdversary attacks
dc.subjectImage-poisoning
dc.subjectPolysemantic words
dc.subjectCultural differences
dc.subjectMisinforming
dc.subjectSecurity considerations
dc.titleSecurity of Text to Image Conversions
dc.typeThesis
sdl.degree.departmentElectrical Engineering and Computer Science
sdl.degree.disciplineComputer Science
sdl.degree.grantorFlorida Institute of Technology
sdl.degree.nameMaster of Science

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