Biometrics¶
Biometrics encompasses techniques for identifying or authenticating individuals based on unique physiological or behavioral characteristics such as facial features, fingerprints, voice, iris patterns, or gait. In the context of misinformation and fake content research, biometrics is relevant primarily for understanding how facial manipulation techniques (deepfakes, face-swapping) can deceive biometric systems and how forensic analysis of biometric signals can detect manipulation.
Key papers¶
- DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection — from the BiDA Lab (Biometrics and Data Pattern Analytics) at Universidad Autónoma de Madrid; covers biometric security implications of facial manipulation
Related topics¶
- Face manipulation (attacks on biometric systems)
- Face synthesis (generation of synthetic biometric data)
- Fake content detection (forensic detection methods)