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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
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| Education: |
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| Specialization: |
Steganography and Steganalysis, Image Processing, Machine Learning systems, Deep Learning design, Cybersecurity, Watermarking
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| Publications: |
2024
coming soon
2023
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Observing Bag Gain in JPEG Batch Steganography, E. Kaziakhmedov, E. Dworetzky, J. Fridrich, IEEE WIFS, Nuremberg, Germany, December 4-7, 2023.
 [pdf]
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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]
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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]
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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]
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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]
Master thesis
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Developing a watermarking method for deep neural networks with no extra training, E. Kaziakhmedov, 2020.
[pdf]
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| Teaching: |
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