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Eli Dworetzky |
| Affiliation: |
Ph.D. candidate, Binghamton University, State University of New York, Department of Electrical and Computer Engineering, T.J. Watson School of Engineering
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| Education: |
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| Specialization: |
Steganography and steganalysis, applied machine learning and deep learning, statistical modeling
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| Publications: |
2023
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Explaining the Bag Gain in Batch Steganography, E. Dworetzky, J. Fridrich, in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3031-3043, 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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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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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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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]
2022
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Detector-Informed Batch Steganography and Pooled Steganalysis, Y. Yousfi, E. Dworetzky, J. Fridrich, The 10th ACM Workshop on Information Hiding and Multimedia Security, Santa Barbara, CA, June 27-28, 2022.
Best Student Paper Award
[pdf]
Thesis
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Explaining and Improving the JPEG Compatibility Attack with Statistical Hypothesis Testing and Deep Learning, E. Dworetzky, 2021.
[pdf]
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| Teaching: |
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