Manipulated attacks in biometrics via modified images/videos and other material-based techniques such as presentation attacks and deepfakes have become a tremendous threat to the security world owing to increasingly realistic spoofing methods. Such manipulations have triggered the need for research attention towards robust and reliable methods for detecting biometric manipulation attacks.

ADMA-2024 aims to profile recent developments and push the border
of the digital manipulation detection technique on biometric systems.

Topics of interest include but not limited to:

- Deepfake manipulation and detection technique
- Novel generalised PAD to unknown attacks
- Image manipulation techniques datasets
- Database in image and video manipulation, and attacks
- Privacy preserving techniques in digital manipulation attack detection
- Image and video synthesis in PAD
- Image and video manipulation generation and detection
- Human observer analysis in detecting the manipulated biometric images
- Novel sensors for detecting manipulated attacks
- Bias analyses and mitigation in attack detection algorithms