Webinar by Dr. Sébastien Marcel on Face Presentation Attack Detection

The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Sébastien Marcel on “Face Presentation Attack
Detection”. Detail on the webinar are given below:

Title: Face Presentation Attack Detection
Speaker: Prof. Sébastien Marcel, University de Lausanne/IDIAP, Switzerland
When: 7 December 2022, at 10am CET (5 pm CST, 4am ET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_qEuvpABRQt-f15358CeMuA

*** Talk Summary ***
In biometrics, Presentation Attacks (PA also referred to as spoofing)
are performed by falsifying the biometric trait and then presenting this
falsified information to the biometric system, one such example is to
fool a fingerprint system by copying the fingerprint of another person
and creating an artificial or gummy finger which can then be presented
to the biometric system to falsely gain access. This is an issue that
needs to be addressed because it has recently been shown that
conventional biometric techniques are vulnerable to presentation
attacks. One of the main challenges in Presentation Attack Detection
(PAD also referred to as anti-spoofing) is to find a set of features and
models (mostly classifiers) that allows systems to effectively
distinguish signals that were directly emitted by a human from those
reproduced by an attacker. This talk will present an overview of typical
face PAs and PAD techniques.

*** About the Speaker ***
Sébastien Marcel (IEEE Senior member – H-index 63) is Professor at the
University de Lausanne (UNIL) at the School of Criminal Justice and
lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he
is teaching on “Biometrics” and “Fundamentals in Statistical Pattern
Recognition” respectively. He serves on the Program Committee of several
scientific journals and international conferences in pattern recognition
and computer vision. He is a senior researcher at the Idiap Research
Institute (Switzerland), he heads the Biometrics Security and Privacy
group and conducts research on face recognition, speaker recognition,
vein recognition, attack detection (presentation attacks, morphing
attacks, deepfakes) and template protection. He received his Ph.D.
degree in signal processing from Université de Rennes I in France (2000)
at CNET, the research center of France Telecom (now Orange Labs). He is
also the Director of the Swiss Center for Biometrics Research and
Testing, which conducts certifications of biometric products. He is
Associate Editor of IEEE Transactions on Biometrics and Identity
Science. He was Associate Editor of IEEE Signal Processing Letters,
Associate Editor of IEEE Transactions on Information Forensics and
Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a
Guest Editor of the IEEE Transactions on Information Forensics and
Security Special Issue on “Biometric Spoofing and Countermeasures”, and
Co-editor of the IEEE Signal Processing Magazine Special Issue on
“Biometric Security and Privacy”. He is also the lead Editor of the
Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3).

For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars

Call for Papers — IWBF 2023

Date: 19.4 – 20.4 2023
Venue: Barcelona, Spain
Webpage: https://warwick.ac.uk/iwbf2023/

*** About ***
The 2023 IEEE International Workshop on Biometrics and Forensics
(IWBF'23) is an
international forum devoted to facilitating synergies in research and
development among
the areas of multimedia forensics, forensic biometrics, and forensic
science. State-of-the-art
research in areas such as biometrics, forensic science, surveillance,
and multimedia
forensics will be presented. The 11th edition of IWBF will be held in
Barcelona, Spain and will
represent a meeting place for those concerned with the use of advanced
biometric technologies in
forensic applications, attracting participants from industry, research,
academia, and end-users.

Topics of interest include, but are not limited to:

+ Biometrics
+ Attacks to biometric recognition systems
+ Multimodal biometrics
+ Soft biometrics
+ Mobile biometrics
+ Biometric analysis of crime scenes
+ Forensic Science
+ Multimedia forensics
+ Integrity verification
+ Anonymization & Data Privacy
+ Data de-identification
+ Surveillance
+ Ethical and societal implications
+ Information Theoretic Security
+ Adversarial Signal Processing
+ Case studies on the aforementioned topics

*** Paper Submission ***
Prospective authors are invited to submit original and unpublished work,
in English, with up
to 6 pages including results, figures and references (overlength
submissions will not be reviewed).
Paper submissions will be reviewed by at least three members of the
Technical Program Committee using a
single blind reviewing procedure. All accepted papers will be published
in the IEEE Xplore® digital library.

IWBF 2023 CMT: https://cmt3.research.microsoft.com/IWBF2023

*** Important Dates ***
Paper submission            13 January 2023
Decisions to authors        17 February 2023
Camera-ready papers due        3 March 2023

EURASIP Journal on Image and Video Processing Free Webinar on December 1, 2022 (12:30pm CET)



We hope you can join us on Thursday December 1 at 12:30pm CET for our next 1-hour free webinar.

Date&Time: December 1st, 2022 at 12:30 p.m. CET [06:30 a.m. New-York] – [12:30 p.m. Paris/Louvain] – [6:30 p.m. Beijing]
Title: Learning coalitions: How an AI and a group of experts with varying opinions can continuously improve their collective decisions made from images.
Speaker: Benoit Macq (UCLouvain)

To join the webinar, please register to receive more details on how to connect.
The registration form can be found at: https://forms.gle/9JCc6NBgM1x2kZK6A

or via the website of the journal at: https://jivp-eurasipjournals.springeropen.com/
Contact: Esinu Abadjivor <esinu.abadjivor@springernature.com&gt;

Title: Learning coalitions: How an AI and a group of experts with varying opinions can continuously improve their collective decisions made from images.
Abstract: Deep learning technologies have enabled the development of artificial intelligence systems for the recognition of anomalies in images or for predicting possible effects on the imaged object. For the application to medicine, we propose a new approach to learning and continuous improvement of models, based on a coalition of heterogeneous hospitals sharing the same care methods and continuously improving decisions in a common way to achieve the same quality of clinical decisions for all. The models developed and the humans constitute a learning coalition and the progresses in the quality of the decisions made by the models and by the human experts are quantified in the respect of ethical rules adopted by the coalition.
Speaker Bio: Benoit Macq is a professor at the Ecole Polytechnique de Louvain, UCLouvain, Belgium where he heads the “pixels and interactions lab (www.pilab.be)” and teaches image processing, information theory and medical imaging. He has been a visiting professor at McGill University in Montreal and at Telecom Paris Tech. He was a senior invited scientist at MIT and at the Ecole Polytechnique Fédérale de Lausanne. Benoit Macq is a Fellow Member of the IEEE and a Member of the Royal Academy of Sciences of Belgium. He is Founding Editor of the Journal on Multimodal Interfaces and Senior Associate Editor of the IEEE Transaction on Image Processing. Benoit Macq has been Prorector of UCLouvain and has promoted the creation of 12 spin-off companies based on the research done in his laboratory. He is co-creator of the TRAIL Institute (Trusted AI Labs) which gathers 600 AI researchers in French-speaking Belgium.

Webinar videos are available online at https://vimeo.com/showcase/8005816.

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Call for Participation DSTC11 – Track4 (Automatic & Robust Dialogue)

Track 4: Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems – Eleventh Dialog System Technology Challenge (DSTC11.T4)

Call for Participation

TRACK GOALS AND DETAILS: Two main goals and tasks:
•    Task 1: Propose and develop effective Automatic Metrics for evaluation of open-domain multilingual dialogs.
•    Task 2: Propose and develop Robust Metrics for dialogue systems trained with back translated and paraphrased dialogs in English.
EXPECTED PROPERTIES OF THE PROPOSED METRICS:
•    High correlation with human annotated assessments.
•    Explainable metrics in terms of the quality of the model-generated responses.
•    Participants can propose their own metric or optionally improve the baseline evaluation metric deep AM-FM (Zhang et al, 2020).

TASK 1: METRICS FOR MULTILINGUAL DATA
In this task, the goal for participants is to propose a single metric model effective for the automatic evaluation of multilingual dialogs in English, Spanish and Chinese. The model will provide scores to obtain high correlations with human-annotations.
Participants are expected to use pre-trained or fine-tune multilingual models and train them to predict multidimensional quality metrics by using self-supervised techniques.
TASK 2: ROBUST METRICS
In this task, the goal for participants is to propose robust metrics for automatic evaluation when dealing with English sentences that have been back translated or automatically paraphrased. Here, robustness is understood when using sentences having the same semantic meaning as the original sentence but different wording.
The proposed metric model will be evaluated when comparing the scores produced on the original sentences w.r.t. with the scores produced when using the back-translated/paraphrased sentences. Therefore, the expected performance must be on par with the correlations with human-annotations obtained over the original sentences.

DATASETS:
For training: Up to 18 Human-Human curated multilingual datasets (+3M turns), with turn/dialogue level automatic annotations including QE metrics or toxicity.
Dev/Test: Up to 10 Human-Chatbot curated multilingual datasets (+150k turns), with turn/dialogue level human annotations.

REGISTRATION AND FURTHER INFORMATION:
ChatEval: https://chateval.org/dstc11
GitHub: https://github.com/Mario-RC/dstc11_track4_robust_multilingual_metrics

PROPOSED SCHEDULE:
Training/Validation data release: From November to December in 2022
Test data release: Middle of March in 2023
Entry submission deadline: Middle of March in 2023
Submission of final results: End of March in 2023
Final result announcement: Early of April in 2023
Paper submission: From March to May in 2023
Workshop: July-September/2023 in a venue to be announced with DSTC11

ORGANIZATIONS:
Universidad Politécnica de Madrid (Spain)
National University of Singapore (Singapore)
Tencent AI Lab (China)
New York University (USA)
Carnegie Mellon University (USA)

Mario Rodríguez Cantelar
Postgraduate Non-Doctoral Researcher / PhD student
Centre for Automation and Robotics (UPM-CSIC)


4th Virtual International Conference ICMCSI 2023 12 January 2023 – Tribhuvan University, Nepal

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4th Springer International Conference on Mobile Computing and Sustainable Informatics
[ICMCSI 2023]

ISSN: 2367-4520
Dear Researcher

With a consecutive success in the Scopus-Indexed Publication. We are now back with our next successive  4th Springer International Conference on Mobile Computing and Sustainable Informatics [ICMCSI 2023] organized in association with Tribhuvan University, Nepal on 11-12, Januray 2023. We assure that, the proceedings of conference will be strictly subjected for inclusion into Springer – Lecture Notes on Data Engineering and Communications Technologies [Submitted to Web of Science].

Due to COVID-19, The Conference will be Hosted in ONLINE Mode

All accepted and registered papers of 4th ICMCSI 2023 will be published in Springer LNDECT

[Publication Time: 2 to 3 months from the conference Date]

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Series Ed.: Xhafa, Fatos | ISSN: 2367-4512

https://www.springer.com/series/15362

** Indexing:  EI Compendex, INSPEC, Scopus**
All books published in the series are submitted to Web of Science.

ICMCSI Series @ Springer
1st ICMCSI 2020 Publication
2nd ICMCSI 2021 Publication
3rd ICMCSI 2022 Publication

Authors can submit manuscript via Easychair: https://easychair.org/conferences/?conf=icmcsi2023

4th ICMCSI 2023 Conference Brochure

To visit ICMCSI 2023 Conference Website – Click Here

For Queries: +91 8870489968 / icmcsi.conf@gmail.com

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Regards

Dr. Subharna Shakya
[Organizing Secretary‐ICMCSI 2023]
Institute of Engineering,
Tribhuvan University,
Nepal.

ICMCSI 2023 Publication Partner
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ICMCSI 2023 Organized By
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