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Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices.

, , , , and . Media Watermarking, Security, and Forensics, Society for Imaging Science and Technology, (2021)

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SATTVA: SpArsiTy inspired classificaTion of malware VAriants., , and . IH&MMSec, page 135-140. ACM, (2015)Exploiting Spatial Structure for Localizing Manipulated Image Regions., , , , and . ICCV, page 4980-4989. IEEE Computer Society, (2017)Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning., , , , and . HICSS, page 1-10. ScholarSpace, (2021)SigMal: a static signal processing based malware triage., , , and . ACSAC, page 89-98. ACM, (2013)OMD: Orthogonal Malware Detection using Audio, Image, and Static Features., , , , , and . MILCOM, page 703-708. IEEE, (2021)Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions., , , , , and . Media Watermarking, Security, and Forensics, Society for Imaging Science and Technology, (2021)Holistic Image Manipulation Detection using Pixel Cooccurrence Matrices., , , , and . Media Watermarking, Security, and Forensics, Society for Imaging Science and Technology, (2021)Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning., , , , , , , , and . CVPR Workshops, page 1881-1889. IEEE Computer Society, (2017)Improving re-sampling detection by adding noise., , and . Media Forensics and Security, volume 7541 of SPIE Proceedings, page 75410I. SPIE, (2010)Detection of seam carving and localization of seam insertions in digital images., , and . MM&Sec, page 107-116. ACM, (2009)