Recent Advances in Detecting Manipulation Attacks on Biometric Systems
(ADMA-2023) IJCB 2023 - Special Session
Manipulated attacks in biometrics via modified images/videos and other
material-based techniques such as presentation attacks and deep fakes have
become a tremendous threat to the security world owing to increasingly
realistic spoofing methods. Hence, such manipulations have triggered the
need for research attention towards robust and reliable methods for
detecting biometric manipulation attacks. The recent inclusion of
manipulation/generation methods such as auto-encoder and generative
adversarial network approaches combined with accurate localisation and
perceptual learning objectives added an extra challenge to such
manipulation detection tasks. Due to this, the performance of existing
state-of-the-art manipulation detection methods significantly degrades in
unknown scenarios. Apart from this, real-time processing, manipulation on
low-quality medium, limited availability of data, and inclusion of these
manipulation detection techniques for forensic investigation are yet to be
widely explored. Hence, this special session aims to profile recent
developments and push the border of the digital manipulation detection
technique on biometric systems.
We invite practitioners, researchers and engineers from biometrics, signal
processing, material science, mathematics, computer vision and machine
learning to contribute their expertise to underpin the highlighted
challenges. Further, this special session promotes cross-disciplinary
research by inviting the partitioner in the field of psychology where one
can perform the human observer (or super-recogniser) analysis to detect
attacks.
Topics of interest include but are not limited to:
Deepfake manipulation and detection technique
Novel generalised PAD to unknown attacks
Image manipulation techniques datasets
Database in image and video manipulation, and attacks
Privacy-preserving techniques in digital manipulation attack
detection
Image and video synthesis in PAD
Image and video manipulation generation and detection
Human observer analysis in detecting the manipulated
biometric images
Novel sensors for detecting manipulated attacks
Bias analyses and mitigation in attack detection algorithms
Submission Guidelines:
Submit your papers at:
https://cmt3.research.microsoft.com/IJCB2023 in a special session track.
The paper presented at ADMA-2023 will be published as part of
the IJCB2023 and should, therefore, follow the same guideline as the main
conference.
Page limit: A paper can be up to 8 pages including figures
and tables, plus additional pages for references only.
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 acknowledgements.
Important Dates:
Full Paper Submission: July 17, 2023, 23:59:59 PDT
Acceptance Notice: August 17, 2023, 23:59:59 PDT
Camera-Ready Paper: August 21, 2023, 23:59:59 PDT
Organizing Committee:
Abhijit Das, BITS Pilani, India
Raghavendra Ramachandra, NTNU, Norway
Meiling Fang, Fraunhofer IGD, Germany
Dear colleagues, I've written a short note relating to a simulation I ran to clarify my muddy thinking about the effects of bias (towards match or mismatch) in face matching experiments and the way that principal components analysis separates match and mismatch items into different components. I can't see it making a published paper but I figure others may find it useful, so I've put it up on psyarxiv: https://psyarxiv.com/f2a9j Bottom line: when participants vary in bias and ability independently, PCA tends to separate match and mismatch trials, especially after varimax rotation.
The (not very elegant) matlab simulation code is on OSF, linked from the paper.
Comments welcome, to me rather than the whole list.
Peter
Peter Hancock (he/him)
Professor
Psychology, School of Natural Sciences
University of Stirling
FK9 4LA, UK
phone 01786 467675
http://rms.stir.ac.uk/converis-stirling/person/11587
@pjbhancock
Latest paper:
Simulated automated facial recognition systems as decision-aids in forensic face matching tasks.<https://psycnet.apa.org/record/2023-24366-001?doi=1>
https://psycnet.apa.org/doiLanding?doi=10.1037%2Fxge0001310
My messages may arrive outside of the working day but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient.
________________________________
Scotland's University for Sporting Excellence
The University of Stirling is a charity registered in Scotland, number SC 011159
Apologies for cross-posting
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AAP 2023: CALL FOR PAPERS
International Workshop on Automated Assessment of Pain
http://aap-workshop.net/
Submission Deadline: July 20th, 2023
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The International Workshop on Automated Assessment of Pain (AAP
2023) will be held in conjunction with ICMI 2023 on October 9th-13rd, 2023, Paris, France.
For details concerning the workshop program, paper submission, and
guidelines please visit our workshop website at:
http://aap-workshop.net/
Best regards,
Zakia Hammal, Steffen Walter, Nadia Berthouze
The Center of Brain and Health at New York University Abu Dhabi seeks to
recruit two postdoctoral associates for two projects: 1) a project on the
mechanisms underlying rapid perception and cognition, and 2) a project on
the neural mechanisms underlying interactions of visual and conceptual
systems.
*Project 1: Mechanisms underlying rapid perception and cognition*
*(PI: Prof. David Melcher, Perception and Active Cognition Laboratory)*
Attention, perception, working memory and other aspects of cognition are
limited by time constraints that are linked to the temporal scales of
neural activity. On the one hand, we can find general principles linking
ongoing brain rhythms to the temporal unfolding of thought, from the
sampling rate of sensory perception to the maintenance of active
representations in memory. However, there are also large individual
differences in processing speed within the healthy adult population, across
the developmental lifespan, and when considering clinical and neurological
patient groups. The successful applicant will drive a fascinating project
on the neural correlates of these individual and clinical differences in
speed of information processing.
*Project 2: Neural mechanisms underlying interactions of visual and
conceptual systems*
*(PI: Prof. Olivia Cheung, Objects And Knowledge Laboratory)*
High-level vision, which involves transforming visual inputs into
meaningful concepts such as faces, words, animals, human-made objects, and
scenes, is essential for humans to understand and interact with their
environment. This process relies on a cortical network that supports
perception, learning, memory, and prediction. The study of high-level
vision provides a window into how learning and experience impact the human
brain. The successful applicant will lead a project investigating the
complex nature of semantic associations and image statistics on category
selectivity, using machine learning and multivariate pattern analysis
techniques. To distinguish the cortical networks and behavioral markers
that are common across categories or unique to specific categories, the
project involves characterizing the similarities and differences in the
processing of multiple categories in healthy and clinical populations.
The positions are funded for two years with the possibility of renewal.
Required expertise includes strong knowledge of cognitive neuroscience and
expertise in at least one of the neuroimaging methodologies involved in the
project (fMRI, EEG or MEG). For a competitive application at the
postdoctoral level, candidates should demonstrate experience in leading
neuroimaging studies, as shown by publications in international scientific
journals. The successful candidates will work in a multidisciplinary Center
environment with world-class research infrastructure, consisting of
PhD-level scientists, graduate students and undergraduate students.
The terms of employment are extremely competitive and include housing and
educational subsidies for children. Applications will be accepted
immediately and candidates will be considered until the positions are
filled.
For more information and to apply via Interfolio:
https://apply.interfolio.com/120844 (Project 1)
https://apply.interfolio.com/122830 (Project 2)
Hello,
The Social Perception Lab at Dartmouth has an open lab manager / RA
position. The position is funded by an NIH grant to investigate the
cognitive and neural basis of developmental prosopagnosia. It requires
strong programming skills and an interest in perception, neuroscience, and
neuropsychology. can provide a good springboard into a PhD program.
If you're interested, here's a link to the ad:
https://searchjobs.dartmouth.edu/postings/67520
Please contact me if you have questions.
Thanks,
Brad
Apologies for cross-posting
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FGAHI 2019: CALL FOR PAPERS
2nd International Workshop on Face and Gesture Analysis for Health Informatics
Accepted papers will be published at the CVF open access archive.
Submission Deadline Extended: May 1st, 2019.
The camera-ready deadline: May 15th, 2019.
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The 2d International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI
2019) will be held in conjunction with IEEE CVPR 2019 on June 16th - June 21st, Long Beach, CA.
For details concerning the workshop program, paper submission, and
guidelines please visit our workshop website at:
http://fgahi2019.isir.upmc.fr/
Best regards,
Zakia Hammal
Zakia Hammal, PhD
The Robotics Institute, Carnegie Mellon University
http://www.ri.cmu.edu/http://ri.cmu.edu/personal-pages/ZakiaHammal/