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Image Manipulation Detection

6 papers with code · Computer Vision

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Detecting Photoshopped Faces by Scripting Photoshop

ICCV 2019 PeterWang512/FALdetector

Most malicious photo manipulations are created using standard image editing tools, such as Adobe Photoshop.

IMAGE MANIPULATION DETECTION

Learning Rich Features for Image Manipulation Detection

CVPR 2018 LarryJiang134/Image_manipulation_detection

Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need to be learned.

IMAGE MANIPULATION DETECTION OBJECT DETECTION

Neural Imaging Pipelines - the Scourge or Hope of Forensics?

27 Feb 2019pkorus/neural-imaging

This paper explores end-to-end optimization of the entire image acquisition and distribution workflow to facilitate reliable forensic analysis at the end of the distribution channel, where state-of-the-art forensic techniques fail.

IMAGE MANIPULATION DETECTION

Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels

CVPR 2019 pkorus/neural-imaging

Forensic analysis of digital photo provenance relies on intrinsic traces left in the photograph at the time of its acquisition.

IMAGE MANIPULATION DETECTION

Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples

25 Oct 2019ehsannowroozi/RDFS

We investigate if the random feature selection approach proposed in [1] to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on deep learning features.

FEATURE SELECTION IMAGE MANIPULATION DETECTION