Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application

Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon. Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021. pages 31-40, IEEE, 2021. [doi]

@inproceedings{GhamiziCPT21,
  title = {Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application},
  author = {Salah Ghamizi and Maxime Cordy and Mike Papadakis and Yves Le Traon},
  year = {2021},
  doi = {10.1109/ICCVW54120.2021.00010},
  url = {https://doi.org/10.1109/ICCVW54120.2021.00010},
  researchr = {https://researchr.org/publication/GhamiziCPT21},
  cites = {0},
  citedby = {0},
  pages = {31-40},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0191-3},
}