https://sites.google.com/view/synrdinbas-wacv2025

Paper submission (extended to): December 16, 2024, 11:59pm PST
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*** Call for Papers ***
Recent advancements in generative models like GANs, VAEs, and diffusion
models have transformed data-driven tasks in computer vision and AI by
enabling the creation of highly realistic synthetic data. These models
address data scarcity challenges, offering versatile and ethical
alternatives for training and testing machine learning algorithms.
However, their realism also raises concerns, as synthetic data's
indistinguishability from real data poses risks of misuse, manipulation,
and potential harm when used unethically.

Synthetic Realities and Data in Biometric Analysis and Security
(SynRDinBAS) is a workshop that aims to explore the diverse applications
of synthetic realities and data in biometric analysis, while also
addressing critical security issues such as data privacy and ethical
concerns of data manipulation.

Topics of interest include, but are not limited to:

     Novel generative models for synthesis of biometric data,
     Synthetic realities in immersive media for biometric interaction
and analysis,
     Synthetic realities for behavioral biometric data collection and
analysis,
     Label generation for synthetic data,
     Information leakage in synthetic data,
     Data factories for training biometric (detection, landmarking,
recognition) models,
     Synthetic data for data augmentation,
     Data synthesis for bias mitigation and fairness,
     Quality assessment for synthetic data,
     Synthetic data for privacy protection,
     Novel applications of synthetic data,
     New synthetic datasets and performance benchmarks,
     Applications of synthetic data, e.g., deepfakes, virtual try-on,
face and gesture editing,
     Partially or fully synthetically generated attacks on biometric
systems for identification and verification,
     Detection of manipulated and synthetic content,
     Forensic analysis of synthetic data.

  *** Submission ***

Submit your papers at: https://cmt3.research.microsoft.com/SynRDinBAS2025

*** Special Issue ***

A selection of Best reviewed papers will be invited to submit extended
versions of their papers to a special issue, organized within the
Information Fusion journal (IF = 14.2):
https://www.sciencedirect.com/journal/information-fusion.

*** Important Dates ***

Full Paper Submission (extended to): December 16, 2024, 11:59pm PST
Acceptance Notice: January 6, 2025, 11:59pm PST

For more information, visit:
https://sites.google.com/view/synrdinbas-wacv2025