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Mehdi Boroumand Mehdi Boroumand
Education:
2019 - PhD in Electrical Engineering, Binghamton University, State University of New York
2007 - MS in Electrical Engineering, Sahand University of Technology, Iran
2004 - BS in Electrical Engineering, K.N.Toosi University of Technology, Iran
Specialization: Steganography and steganalysis, applied machine learning, digital media forensics, digital watermarking
Awards: Graduate Student Award for Excellence in Research, Binghamton University, 2018
Best student paper award, 5th ACM Workshop on Information Hiding and Multimedia Security, Philadelphia, PA, USA, 2017
Publications: Google Scholar
2019
  • Reference Channels for Steganalysis of Images with Convolutional Neural Networks, Mo Chen, Mehdi Boroumand and Jessica Fridrich, Proceedings of IH&MMSec ’19, Paris, France, July 3-5, 2019.

  • Deep Residual Network for Steganalysis of Digital Images, Mehdi Boroumand, Mo Chen, and Jessica Fridrich, IEEE Transactions on Information Forensics and Security, vol. 14, no.5, pp. 1181-1193, May 2019.

  • Are we there yet?, Mehdi Boroumand and Jessica Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, 2019.
2018
  • Applications of Explicit Non-Linear Feature Maps in Steganalysis, Mehdi Boroumand and Jessica Fridrich, IEEE Transactions on Information Forensics and Security, vol. 13, no.4, pp. 823-833, April 2018.

  • Deep Learning for Detecting Processing History of Images, Mehdi Boroumand and Jessica Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, 2018.

  • Deep Learning Regressors for Quantitative Steganalysis, Mo Chen, Mehdi Boroumand, and Jessica Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, 2018.
2017
  • Nonlinear Feature Normalization in Steganalysis, Mehdi Boroumand and Jessica Fridrich, Proceedings of IH&MMSec ’17, Philadelphia, PA, USA, June 20-22, 2017.  [source code](best student paper award)

  • JPEG-Phase-Aware Convolutional Neural Network for Steganalysis of JPEG Images, Mo Chen, V. Sedighi, M. Boroumand, and J.Fridrich, Proceedings of IH&MMSec ’17, Philadelphia, PA, USA, June 20-22, 2017.  [source code]

  • Scalable Processing History Detector for JPEG Images, Mehdi Boroumand and Jessica Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics, San Francisco, CA, January 29–February 2, 2017.
2016
  • Boosting Steganalysis with Explicit Feature Maps , Mehdi Boroumand and Jessica Fridrich, 4th ACM Workshop on Information Hiding and Multimedia Security, Vigo, Spain, June 2016.  [source code]

  • Steganalysis Features for Content-Adaptive JPEG Steganography, T. Denemark, M. Boroumand and J. Fridrich, IEEE Transactions on Information Forensics and Security, vol. 11, no. 8, pp. 1736-1746, August 2016.  [source code]

Contact: mboroum1 (AT) binghamton.edu