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Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. (arXiv:2211.12314v1 [eess.IV])
Nov. 23, 2022, 2:15 a.m. | Shengbang Fang, Matthew C Stamm
cs.CV updates on arXiv.org arxiv.org
Recent advances in deep learning have enabled forensics researchers to
develop a new class of image splicing detection and localization algorithms.
These algorithms identify spliced content by detecting localized
inconsistencies in forensic traces using Siamese neural networks, either
explicitly during analysis or implicitly during training. At the same time,
deep learning has enabled new forms of anti-forensic attacks, such as
adversarial examples and generative adversarial network (GAN) based attacks.
Thus far, however, no anti-forensic attack has been demonstrated against image …
More from arxiv.org / cs.CV updates on arXiv.org
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