• Publications
  • Influence
Rich Models for Steganalysis of Digital Images
We describe a novel general strategy for building steganography detectors for digital images. Expand
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Digital camera identification from sensor pattern noise
We propose a new method for the problem of digital camera identification from its images based on the sensor's pattern noise. Expand
  • 975
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Universal distortion function for steganography in an arbitrary domain
We propose a universal distortion design called universal wavelet relative distortion (UNIWARD) that can be applied for embedding in an arbitrary domain. Expand
  • 518
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Detection of Copy-Move Forgery in Digital Images
Digital images are easy to manipulate and edit due to availability of powerful image processing and editing software. Expand
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Digital Watermarking and Steganography
This new edition now contains essential information on steganalysis and steganography, as many in each field research and deal with the other. Expand
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Designing steganographic distortion using directional filters
  • V. Holub, J. Fridrich
  • Computer Science
  • IEEE International Workshop on Information…
  • 1 December 2012
This paper presents a new approach to defining additive steganographic distortion in the spatial domain using the reciprocal Hölder norm. Expand
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Determining Image Origin and Integrity Using Sensor Noise
In this paper, we provide a unified framework for identifying the source digital camera from its images using photo-response nonuniformity noise. Expand
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Minimizing Additive Distortion in Steganography Using Syndrome-Trellis Codes
This paper proposes a complete practical methodology for minimizing additive distortion in steganography with general (nonbinary) embedding operation. Expand
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Merging Markov and DCT features for multi-class JPEG steganalysis
We construct a new multi-class JPEG steganalyzer capable of assigning stego images to six popular steganographic algorithms. Expand
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Feature-Based Steganalysis for JPEG Images and Its Implications for Future Design of Steganographic Schemes
  • J. Fridrich
  • Computer Science, Mathematics
  • Information Hiding
  • 23 May 2004
We introduce a new feature-based steganalytic method for JPEG images and use it as a benchmark for comparing JPEG steganographic algorithms and evaluating their embedding mechanisms. Expand
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