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TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization.

, , , , and . CVPR, page 20606-20615. IEEE, (2023)

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Handbook of Digital Forensics of Multimedia Data and Devices Book Reviews.. IEEE Signal Process. Mag., 33 (1): 164-165 (2016)PRNU-Based Forgery Localization in a Blind Scenario., , , , and . ICIAP (2), volume 10485 of Lecture Notes in Computer Science, page 569-579. Springer, (2017)Iris liveness detection for mobile devices based on local descriptors., , and . Pattern Recognit. Lett., (2015)A study of co-occurrence based local features for camera model identification., , , and . Multimedia Tools Appl., 76 (4): 4765-4781 (2017)Noiseprint: A CNN-Based Camera Model Fingerprint., and . IEEE Trans. Inf. Forensics Secur., (2020)Self-organizing maps for the design of multiple description vector quantizers., , and . Neurocomputing, (2013)A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection., , , and . CoRR, (2019)A Comparative Analysis of Forgery Detection Algorithms., , , and . SSPR/SPR, volume 7626 of Lecture Notes in Computer Science, page 693-700. Springer, (2012)Multiple Classifier Systems for Image Forgery Detection., , , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 259-268. Springer, (2013)Exploration of Multitemporal COSMO-SkyMed Data via Interactive Tree-Structured MRF Segmentation., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (7): 2763-2775 (2014)