Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
<|reference_start|>Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services: We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced images uploaded on social media, as image services. Trust may, in some circumstances, be determined by using only the non-functional attributes of an image service, i.e., image metadata. We define intention of changes as a key parameter to ascertain fake image services. A novel framework is proposed to estimate the intention of underlying changes considering change in semantics of an image. Our experiments show high accuracy using a large real dataset.<|reference_end|>
@article{umair2023determining,
    title={Determining Intent of Changes to Ascertain Fake Crowdsourced Image
  Services},
    author={Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari},
    journal={arXiv preprint arXiv:2403.12045},
    year={2023},
    archivePrefix={arXiv},
    eprint={2403.12045},
    primaryClass={cs.CV}
}