Generating and Understanding of Synthetic Face Images
Synthetic Face Detection with Explainability
Novel Synthetic Face Datasets with Multiple Attributes
Privacy and Federated Learning
Vulnerabilities of Face Recognition Systems
Universal Security to Face Recognition
Bias and Fairness
Human Analysis of Synthetic and Attack Images
Deep Face Recognition Network Feature Analysis
Physical vs. Digital Adversaries/vulnerabilities
Unlearnable Face Examples
Large Vision Models and/or Foundation Models for Face Recognition
Large Vision Models and/or Foundation Models for Security
Submit your papers at: https://cmt3.research.microsoft.com/IJCBSIBV2024
Paper presented at ADMA-2024 will be published as part of the IJCB2024 and should, therefore, follow the same guidelines as the main conference.
The LaTex/Word templates for the paper submission are:
Page limit: A paper can be up to 8 pages including figures and tables, plus an unlimited number of additional pages for references only.Â
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.