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Edgar Edgar Kaziakhmedov
Affiliation: Ph.D. candidate, Binghamton University, State University of New York,
Department of Electrical and Computer Engineering, T.J. Watson School of Engineering
since Fall 2021
Education:
2020 - M.Sc. in Applied Mathematics and Physics, Moscow Institute of Physics and Technology
2018 - B.Sc. in Applied Mathematics and Physics, Moscow Institute of Physics and Technology
Specialization: Steganography and Steganalysis, Image Processing, Machine Learning systems, Deep Learning design, Cybersecurity, Watermarking
Publications: 2024
coming soon

2023
  • Observing Bag Gain in JPEG Batch Steganography, E. Kaziakhmedov, E. Dworetzky, J. Fridrich, IEEE WIFS, Nuremberg, Germany, December 4-7, 2023.
    pdf[pdf]

  • Limits of Data Driven Steganography Detectors, E. Kaziakhmedov, E. Dworetzky, J. Fridrich, The 11th ACM Workshop on Information Hiding and Multimedia Security, Chicago, IL, June 28-30, 2023.
    pdf[pdf]

  • On Comparing Ad Hoc Detectors with Statistical Hypothesis Tests, E. Dworetzky, E. Kaziakhmedov, J. Fridrich, The 11th ACM Workshop on Information Hiding and Multimedia Security, Chicago, IL, June 28-30, 2023.
    pdf[pdf]

  • Advancing the JPEG Compatibility Attack: Theory, Performance, Robustness, and Practice, E. Dworetzky, E. Kaziakhmedov, J. Fridrich, The 11th ACM Workshop on Information Hiding and Multimedia Security, Chicago, IL, June 28-30, 2023.
    pdf[pdf]

  • Cost Polarization by Dequantizing for JPEG Steganography, E. Kaziakhmedov, Y. Yousfi, E. Dworetzky, J. Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2023, San Francisco, CA, January 15-19, 2023.
    pdf[pdf]

Master thesis
  • Developing a watermarking method for deep neural networks with no extra training, E. Kaziakhmedov, 2020.
    pdf[pdf]
Teaching:
  • Spring 2022 EECE 377 Communications systems, course TA
  • Fall 2021 EECE 560 Cryptography & Info Security , course TA

Homepage: in progress
Contact: ekaziak1 (AT) binghamton (DOT) edu