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Yassine Yousfi |
| 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, Image Processing, Machine Learning systems, Deep Learning design, Digital Watermarking
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| Publications: |
2021
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How to Pretrain for Steganalysis, J. Butora, Y. Yousfi, J. Fridrich, 9th IH&MMSec. Workshop, Brussels, Belgium, June 22-25, 2021.
 [pdf]
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Improving EfficientNet for JPEG Steganalysis, Y. Yousfi, J. Butora, J. Fridrich, C. F. Tsang, 9th IH&MMSec. Workshop, Brussels, Belgium, June 22-25, 2021.
[pdf]
2020
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ImageNet Pre-trained CNN Models for JPEG Steganalysis, Y. Yousfi, J. Butora, J. Fridrich, E. Khvedchenya IEEE WIFS, New York, NY, December 6-11, 2020.
[pdf]
2nd place at the ALASKA II steganalysis kaggle
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Successive Information Bottleneck and applications in Deep Learning, Y. Yousfi, E. Akyol ASILOMAR Conference on Signals, Systems and Computers 2020.
[pdf]
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Turning Cost-Based Steganography into Model-Based, J. Butora, Y. Yousfi, J. Fridrich, 8th IH&MMSec. Workshop, Denver, CO, June 20-22, 2020.
[pdf]
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An Intriguing Struggle of CNNs in JPEG Steganalysis and the OneHotConv Solution, Y. Yousfi and J. Fridrich, IEEE SPL, 2020.
[pdf]
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JPEG Steganalysis Detectors Scalable With Respect to Compression Quality, Y. Yousfi and J. Fridrich, Proc. IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2020, San Francisco, CA, January 26-30, 2020.
[pdf]
2019
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Breaking ALASKA: Color Separation for Steganalysis in JPEG Domain, Y. Yousfi, J. Butora, J. Fridrich and Q. Giboulot, 7th IH&MMSec. Workshop, Paris, France, July 3-5, 2019.
[pdf]
Winners of the ALASKA steganalysis challenge
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| Teaching: |
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