[Call for Papers]: Generative AI for Biometrics

[Vitomir Struc]

*****************************
Generative AI for Futuristic Biometrics
Special session held in the scope of IEEE IJCB 2024
15-18 September 2024, Buffalo, USA
https://sites.google.com/nyu.edu/genai-fb

Paper submission: 3 July 2024, 11:59pm PST
*****************************

*** Call for Papers ***
Generative AI has significantly reshaped modern machine learning in both
vision and language domains in terms of unprecedented realism, diversity
and efficiency. This will also have an impact on biometric research that
heavily relies on large-scale, diverse, sensitive and personally
identifiable data. On one hand, we can leverage generative models for
controllable synthesis of large amounts of biometric data in an
efficient automated fashion. This synthetic data in turn can be used for
de-biasing existing models or extending data when real data is limited.
This is essential, specifically, in extreme cases such as
post-mortem-based recognition or recognition of infants and children,
where data collection is significantly restricted or nearly impossible.
Another potential use of generative models can be adaptation of
text-driven large language models to produce natural language
interpretation of data. The generated descriptions can explain the
decisions generated by the biometric systems thereby, making them more
trustworthy and explainable. On the other hand, generative AI can be
used in an adversarial capacity to circumvent existing systems. Novel
attack vectors such as spoofs, template inversion and Deepfake can be
simulated more effectively using generative AI. Biometrics of the future
should therefore, utilize this novel potential of generative AI to both
identify vulnerabilities in existing systems and develop intelligent,
trustworthy and robust systems.

Topics of interest include, but are not limited to the following list.

+ Novel generative models for image and voice generation
+ Generative models for biometrics in the extreme (post-mortem, young
children, etc)
+ Generative models for attack vectors (sensor and template level attacks)
+ Text-based generative models for explainable biometrics
+ Evaluation and human perception of generated data
+ Evaluation of generative models for diversity and controllability
+ Novel applications of generative AI in biometrics

*** Submission ***
Submit your papers at: https://cmt3.research.microsoft.com/GENAI2024

Accepted papers will be published in the proceedings of IJCB 2024 and
sent for inclusion in IEEE Xplore.


*** Important Dates ***

Full Paper Submission: July 3, 2024, 23:59:59 PDT
Acceptance Notice:     July 24, 2024, 23:59:59 PDT

For more information, visit: https://sites.google.com/nyu.edu/genai-fb