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Tomas Denemark Tomas Denemark
Affiliation: Ph.D. candidate, Binghamton University, State University of New York,
Department of Electrical and Computer Engineering, T.J. Watson School of Engineering
Education:
2012 - M.S. in Mathematical Engineering, Czech Technical University in Prague,
Faculty of Nuclear Sciences and Physical Engineering, Department of Mathematics
CV: [link]
Specialization: Steganography and steganalysis, applied machine learning (ensemble classification, support vector machines, deep learning)
Publications: 2017
  • Steganography with Multiple JPEG Images of the Same Scene, T. Denemark nad J. Fridrich, IEEE TIFS, 2017. under review

  • Steganography with Two JPEGs of the Same Scene, T. Denemark nad J. Fridrich, IEEE ICASSP, New Orleans, LA, March 5–9, 2017. to appear

  • Model Based Steganography with Precover, T. Denemark and J. Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2017, San Francisco, CA, January 29–February 2, 2017.
    pdf[pdf]  [code]

2016
  • Steganalysis Features for Content-Adaptive JPEG Steganography, T. Denemark, M. Boroumand and J. Fridrich, IEEE TIFS, vol. 11, no. 8, pp. 1736-1746, August 2016.
    pdf[pdf]  [code]

  • Improving Selection-Channel-Aware Steganalysis Features, T. Denemark, J. Fridrich and P. Comesana, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2016, San Francisco, CA, February 14–18, 2016.
    pdf[pdf]  [code]

2015
  • Side-Informed Steganography with Additive Distortion, T. Denemark, J. Fridrich, IEEE Workshop on Information Forensic and Security, Rome, IT, November 16–19, 2015.
    pdf[pdf]  slides[slides]  [code]

  • Improving Steganographic Security by Synchronizing the Selection Channel, T. Denemark, J. Fridrich, 3rd IH&MMSec. Workshop, Portland, Oregon, June 17-19, 2015.
    pdf[pdf]  [code]

2014
  • Optimal Detection of Steganography Using a Statistical Model of FLD Ensemble Classifiers, R. Cogranne, T. Denemark and J. Fridrich, IEEE Workshop on Information Forensic and Security, Atlanta, GA, December 3–5, 2014.
    pdf[pdf]

  • Selection-Channel-Aware Rich Model for Steganalysis of Digital Images, T. Denemark, V. Sedighi, V. Holub, R. Cogranne and J. Fridrich, IEEE Workshop on Information Forensic and Security, Atlanta, GA, December 3–5, 2014.
    pdf[pdf]  slides[slides]  [code]

  • Universal Distortion Function for Steganography in an Arbitrary Domain, V. Holub, J. Fridrich and T. Denemark, EURASIP Journal on Information Security 2014(1) (Section: SI: Revised Selected Papers of ACM IH and MMS 2013)
    pdf[pdf]  [code]

  • Detection of Content-Adaptive LSB Matching (Game Theory Approach), T. Denemark and J. Fridrich, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics 2014, San Francisco, CA, February 2–6, 2014.
    pdf[pdf]  pdf[slides]

  • Further Study on the Security of S-UNIWARD, T. Denemark and J. Fridrich and V. Holub, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics 2014, San Francisco, CA, February 2–6, 2014.
    pdf[pdf]  [code]

2013
  • Random Projections of Residuals as an Alternative to Co-occurrences in Steganalysis, V. Holub, J. Fridrich and T. Denemark, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics XV, vol. 8665, San Francisco, CA, February 3–7, pp. 0L 1–11, 2013.
    pdf[pdf]  pdf[slides]  [code]

Contact: tdenema1 (AT) binghamton (DOT) edu