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Vahid Sedighi Vahid Sedighi
Affiliation: Ph.D. candidate, Department of Electrical and Computer Engineering, T.J. Watson School of Engineering, Binghamton University, State University of New York
Education:
2010 - M.S. in Electrical Engineering - Communications, Yazd University, Faculty of Engineering,
Department of Electrical Engineering
Specialization: applied machine learning (deep learning, ensemble classification, support vector machines), data hiding (steganography, steganalysis, watermarking), statistical signal processing

[Google Scholar]
Publications: 2017
  • Practical Strategies for Content-Adaptive Batch Steganography and Pooled Steganalysis, R. Cogranne, V. Sedighi, and J. Fridrich, IEEE ICASSP, New Orleans, March 5–9, 2017.

  • Histogram Layer, Moving Convolutional Neural Networks Towards Feature-based Steganalysis, V. Sedighi, and J. Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2017, San Francisco, CA, January 29–February 2, 2017.
    pdf[pdf] [download code]

2016
  • Effect of Saturated Pixels on Security of Steganographic Schemes for Digital Images, V. Sedighi, and J. Fridrich, Proceedings of IEEE International Conference on Image Processing (ICIP), 2016, September 25--28, Phoenix, Arizona.
    pdf[pdf] poster[poster]

  • Toss that BOSSbase, Alice!, V. Sedighi, J. Fridrich, and R. Cogranne, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2016, San Francisco, CA, February 14–18, 2016.
    pdf[pdf] slides[slides]

2015
  • Is Ensemble Classifier Needed for Steganalysis in High-Dimensional Feature Spaces?, R. Cogranne, V. Sedighi, J. Fridrich, and T. Pevny, 7th IEEE International Workshop on Information Forensic and Security, Rome, Italy, November 16–19, 2015.
    pdf[pdf]

  • Content-Adaptive Steganography by Minimizing Statistical Detectability, V. Sedighi, R. Cogranne, and J. Fridrich, IEEE Transactions on Information Forensics and Security, vol 11, no. 2, pp. 221-234, 2016.
    pdf[pdf]

  • Effect of Imprecise Knowledge of the Selection Channel on Steganalysis, V. Sedighi and J. Fridrich, Proc. of the 3rd ACM Workshop on Information Hiding and Multimedia Security, Portland, OR, June 17–19, 2015.
    pdf[pdf] slides[slides]

  • A Tale of Three Steganographers, V. Sedighi and J. Fridrich, Rump session contribution at the 3rd ACM Workshop on Information Hiding and Multimedia Security, Portland, OR, June 17–19, 2015.
    slides[slides]

  • Content-Adaptive Pentary Steganography Using the Multivariate Generalized Gaussian Cover Model, V. Sedighi, J. Fridrich, and R. Cogranne, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics, vol. 9409, San Francisco, CA, February 8–12, 2015.
    pdf[pdf] slides[slides]

2014
  • Selection-Channel-Aware Rich Model for Steganalysis of Digital Images, T. Denemark, V. Sedighi, V. Holub, R. Cogranne, and J. Fridrich, 6th IEEE International Workshop on Information Forensic and Security, Atlanta, GA, December 3–5, 2014.
    pdf[pdf] slides[slides]

  • Study of Cover Source Mismatch in Steganalysis and Ways to Mitigate its Impact, J. Kodovsky, V. Sedighi, and J. Fridrich, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, February 2–6, 2014.
    pdf[pdf]

Contact: vsedigh1 (AT) binghamton.edu