Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA-2023)

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  

Submission Guidelines:

• Submit your papers at: https://cmt3.research.microsoft.com/IJCB2023 in a special session track.

• Paper presented at ADMA-2023 will be published as part of the IJCB2023 and should, therefore, follow the same guideline as the main conference.

• The LaTex/Word templates for the paper submission are:

  • LaTex template

  • Word template

• Page limit: A paper can be up to 8 pages including figures and tables, plus an unlimited number of additional pages for references only. 

• Supplementary: Authors can submit one supplementary file. The size should not exceed 100 MB (maximum allowable by CMT) and can be in doc, pdf or zip format.

• Papers will be double-blind peer reviewed by at least three reviewers. Please remove author names, affiliations, email addresses, etc. from the paper. Remove personal acknowledgments.

Important Dates:

• Full Paper Submission: July 31, 2023, 23:59:59 PDT  

• Acceptance Notice: August 14, 2023, 23:59:59 PDT  

• Camera-Ready Paper:  August 21, 2023, 23:59:59 PDT  

Organizing Committee:

Asst. Prof. Dr. Abhijit Das, BITS Pilani, Hyderabad, India

Prof. Dr. Raghavendra Ramachandra, NTNU, Norway

Dr. Meiling Fang, Fraunhofer IGD, Germany