Workshop on Deepfakes and Presentation Attacks in Biometrics Call for Papers
WACV2020 Workshop on Deepfakes and Presentation Attacks in Biometrics
Biometric recognition systems are vulnerable to different types of
presentation attacks (PAs), where an adversary presents a fabricated
artifact or altered trait to biometric sensors. The intent is often to
obfuscate one's own identity, create a synthetic identity, or to
spoof another person's identity. Typically observed attacks
include, but are not limited to printed attack, replay attack, makeup
attack and 3D mask attack. In order to detect or deflect presentation
attacks on biometric systems, numerous Presentation Attack Detection
(PAD, aka, anti-spoofing schemes) have been developed in the
literature, including sensor-based (e.g., RGB, Depth and IR) and
image-based solutions.
With the advent of techniques such as convolutional neural networks
(CNNs) and generative adversarial networks (GANs), more sophisticated
presentation attacks such as Deepfakes have emerged. Hence, it is
imperative to develop effective countermeasures to address these
challenges as well. The field of biometric security has attracted
great attention in recent years and has heavily investigated in a
number of projects including Tabula Rasa (EU project), ODIN (IARPA
project) and DARPA MediFor SAVI underlining the need to solutions to
defend against these attack vectors.
This workshop in WACV-2020 is being organized to reflect on these
specific issues, the impact and countermeasures for biometric
systems. The goal of this workshop is to bring experts from computer
vision, pattern recognition and image processing fields to advance the
state-of-the-art PAD solutions and Deepfake detection solutions.
Papers are invited to report on following topics, but not limited to:
Novel attack mechanisms
Novel physical attacks on biometric systems (e.g.,mask attacks).
Approaches on evaluating the human perception in detecting such attacks
Algorithmic advancements in detecting attacks
Detection and mitigation of adversarial attacks
Presentation Attack Detection (e.g., Face, Fingerprint and Iris )
Deepfake attacks on biometrics and detection methods.
Digital Manipulation
Generalizability of Presentation Attack Detection
Explainable AI in Presentation Attack
Multi-modal Presentation Attack Detection
Novel Presentation Attacks
Novel Sensor-based Solutions
Datasets and Evaluations
Social and Ethical Implications
Image Forensics
Forgery Detection
Submission Guidelines:
Papers presented at WACV workshops will be published as part of
the "WACV Workshop Proceedings" and should, therefore, follow the
same guideline as the main conference. Workshop papers will be
included in IEEE Xplore, but will be indexed separately from the
main conference papers. Paper submission guidlines of WACV can be
accessed through this link.
For review, a complete paper should be submitted using the
for_review format and the guidelines provided in the author
kit. All reviews are double-blind, so please be careful not to
include any identifying information including the authors'
names or affiliations.
Accepted papers will be allocated 8 pages in the
proceedings. Please note that References/Bibliography at the end
of the paper will NOT count toward the aforementioned page
limit. That is, a paper can be up to 8 pages + the references.
The submission template can be downloaded here.
Please submit your papers under:
https://cmt3.research.microsoft.com/DEEPPAB2020/
Important Dates
Workshop: The workshop will take place on WACV 2020 - March 5, 2020
Full Paper Submission: 15th December, 2019
Acceptance Notice: 10th January, 2020
Camera-Ready Paper: 1st February, 2020
Organizing Committee:
Kiran Raja, NTNU, Norway
Naser Damer, Fraunhofer IGD, Germany
Cunjian Chen, Michigan State University, USA
Antitza Dantcheva, Inria, France
Adam Czajka, University of Notre Dame, USA
Hu Han, Chinese Academy of Sciences (CAS), China
Raghavendra Ramachandra, NTNU, Norway