Yassine Yousfi

ES 2340

Engineering & Science Building

85 Murray Hill Rd, Vestal, NY 13850

I am a PhD candidate at Binghamton University (NY). My research focus is on Machine Learning and Deep Learning and their applications in digital media security such as Steganography/Steganalysis or Watermarking. I also hold a MSc in Computer Science/Machine Learning from École Centrale de Lille (France).

News

Jul 1, 2021 My short wandb report on Imagenet21k and steganalysis was featured on wandb fully connected.
Jun 1, 2021 I am joining the comma.ai ML research team for a summer internship!
May 3, 2021 New papers accepted at the ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC). More about one of them here.
Nov 24, 2020 Our paper: “ImageNet Pre-trained CNNs for JPEG Steganalysis” was accepted at the In IEEE International Workshop on Information Forensics and Security (WIFS).
Sep 16, 2020 I am a co-instructor of record of a new graduate level course at Binghamton University: Deep Learning for ECE! Read about it here.

Selected publications

  1. IH
    Improving EfficientNet for JPEG Steganalysis
    Yousfi, Y., Butora, J., Fridrich, J., and Fuji-Tsang, C.
    In The 9th ACM Workshop on Information Hiding and Multimedia Security 2021
  2. ImageNet Pre-trained CNNs for JPEG Steganalysis
    Yousfi, Y., Butora, J., Khvedchenya, E., and Fridrich, J.
    In IEEE International Workshop on Information Forensics and Security 2020
  3. SPL
    An Intriguing Struggle of CNNs in JPEG Steganalysis and the OneHot Solution
    Yousfi, Y., and Fridrich, J.
    IEEE Signal Processing Letters 2020
  4. EI
    JPEG steganalysis detectors scalable with respect to compression quality
    Yousfi, Y., and Fridrich, J.
    In Proceedings IS&T, Electronic Imaging, Media Watermarking, Security, and Forensics 2020
  5. IH
    Breaking ALASKA: Color Separation for Steganalysis in JPEG Domain
    Yousfi, Y., Butora, J., Giboulot, Q., and Fridrich, J.
    In The 7th ACM Workshop on Information Hiding and Multimedia Security 2019