Synthetic Realities and Data in Biometric Analysis and Security (SynRDinBAS) Call for Papers

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Synthetic Realities and Data in Biometric Analysis and Security (SynRDinBAS)
Workshop held at WACV 2025 
(IEEE/CVF Winter Conference on Applications of Computer Vision) 
February 28 -March 4, 2024, Tucson, Arizona, US
https://sites.google.com/view/synrdinbas-wacv2025

Paper submission: December 12, 2024, 11:59pm PST
Best workshop papers will be invited for extension and submission to a
special issue in Information Fusion (IF: 14.7)
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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
 
*** Important Dates *** 
 
Full Paper Submission: December 12, 2024, 11:59pm PST 
Acceptance Notice: January 6, 2025, 11:59pm PST 
 
For more information, visit: https://sites.google.com/view/synrdinbas-wacv2025