There’s no silver bullet solution with cybersecurity, a layered defense is the only viable defense.
Lecture Materials
- PowerPoint (to be posted)
- PDF (to be posted)
- Figures
Please note that only the figures for which we have permission are included from the textbook. Not all figures are available.
Additional Exercises
Additional exercises to be posted.
Datasets
Please note that we merely provide links to these datasets, and additional permission may be required from the dataset creators to use them. For any questions regarding the datasets, please contact the creators directly.
Software
- Multi-domain Learning for Updating Face Anti-spoofing Models
- Attention-Guided Iris Presentation Attack Detector
- Privacy-Friendly Synthetic Data for the Development of Face Morphing Attack Detectors
Related Books
Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, and Christoph Busch (Eds.), Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks, Springer, 2022.
Sébastien Marcel, Julian Fierrez, and Nicholas Evans (Eds.), Handbook of Biometric Anti-Spoofing, Third Edition, Springer, 2023.
Additional References
Additional references to be posted.