Transferability Analysis of an Adversarial Attack on Gender Classification to Face Recognition

Zohra Rezgui, Amina Bassit. Transferability Analysis of an Adversarial Attack on Gender Classification to Face Recognition. In Arslan Brömme, Christoph Busch 0001, Naser Damer, Antitza Dantcheva, Marta Gomez-Barrero, Kiran B. Raja, Christian Rathgeb, Ana F. Sequeira, Andreas Uhl, editors, Proceedings of the 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021, Digital Conference, September 15-17, 2021. Volume P-315 of LNI, pages 125-136, Gesellschaft für Informatik e.V., 2021. [doi]

@inproceedings{RezguiB21,
  title = {Transferability Analysis of an Adversarial Attack on Gender Classification to Face Recognition},
  author = {Zohra Rezgui and Amina Bassit},
  year = {2021},
  doi = {10.1109/BIOSIG52210.2021.9548308},
  url = {https://doi.org/10.1109/BIOSIG52210.2021.9548308},
  researchr = {https://researchr.org/publication/RezguiB21},
  cites = {0},
  citedby = {0},
  pages = {125-136},
  booktitle = {Proceedings of the 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021, Digital Conference, September 15-17, 2021},
  editor = {Arslan Brömme and Christoph Busch 0001 and Naser Damer and Antitza Dantcheva and Marta Gomez-Barrero and Kiran B. Raja and Christian Rathgeb and Ana F. Sequeira and Andreas Uhl},
  volume = {P-315},
  series = {LNI},
  publisher = {Gesellschaft für Informatik e.V.},
  isbn = {978-1-6654-2693-0},
}