IJCB 2025 - Special Session
8 - 11 September 2025, Osaka, Japan
Manipulated attacks in biometrics via modified images/videos and other material-based techniques such as presentation attacks and deep fakes have become a tremendous threat to the security world owing to increasingly realistic spoofing methods. Hence, such manipulations have triggered the need for research attention towards robust and reliable methods for detecting biometric manipulation attacks. The recent inclusion of manipulation/generation methods such as auto-encoder and generative adversarial network approaches combined with accurate localisation and perceptual learning objectives added an extra challenge to such manipulation detection tasks. Due to this, the performance of existing state-of-the-art manipulation detection methods significantly degrades in the unknown scenarios. Apart from this, real-time processing, manipulation on low-quality medium, limited availability of data, and inclusion of these manipulation detection techniques for forensic investigation are yet to be widely explored. Hence, this special session aims to profile recent developments and push the border of the digital manipulation detection technique on biometric systems.
We invite practitioners, researchers and engineers from biometrics, signal processing, material science, mathematics, computer vision and machine learning to contribute their expertise to underpin the highlighted challenges. Further, this special session promote cross disciplinary research by inviting the partitioner in the field of psychology where one can perform the human observer (or super-recogniser) analysis to detect attacks.
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
Find details about paper submission HERE.