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Titlebook: Information Hiding; 11th International W Stefan Katzenbeisser,Ahmad-Reza Sadeghi Conference proceedings 2009 Springer-Verlag Berlin Heidelb

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Roughness-Adaptive 3D Watermarking of Polygonal Mesheshe best of our knowledge, has not been studied in 3D digital watermarking. Our idea is to adapt watermark strength to local surface roughness based on the knowledge that human eyes are less sensitive to changes on a rougher surface patch than those on a smoother surface. We implemented our idea in a
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SVD-Based Ghost Circuitry Detectionhange circuit functionality. There are numerous GC insertion sources, including untrusted foundries, synthesis tools and libraries, testing and verification tools, and configuration scripts. Moreover, GC attacks can greatly compromise the security and privacy of hardware users, either directly or th
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Microphone Classification Using Fourier Coefficientsl used to record a given audio sample. Our approach is to extract a Fourier coefficient histogram of near-silence segments of the recording as the feature vector and to use machine learning techniques for the classification. Our test goals are to determine whether attempting microphone forensics is
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Detect Digital Image Splicing with Visual Cuesomatic detection framework to identify a spliced image. Distinguishing from existing methods, the proposed system is based on a human visual system (HVS) model in which visual saliency and fixation are used to guide the feature extraction mechanism. An interesting and important insight of this work
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