Adversarial Deep Learning in Biometrics and Forensics Call for Papers

CFP - 

Computer Vision and Image Understanding
Special Issue on "Adversarial Deep Learning in Biometrics & Forensics"

Deadline for submissions: October 1st, 2019

In the short course of a few years, deep learning has changed the
rules of the game in a wide array of scientific disciplines, achieving
state-of-the-art performance in major pattern recognition application
areas. Notably, it has been used recently even in fields like image
biometrics and forensics (e.g. face recognition, forgery detection and
localization, source camera identification, etc).  However, recent
studies have shown their vulnerability to adversarial attacks: a
trained model can be easily deceived by introducing a barely
noticeable perturbation in the input image. Such a weakness is
obviously more critical for security-related applications calling for
possible countermeasures. Indeed, adversarial deep learning will
create high impact in the field of Biometrics and Forensics in the
near future.  The aim of this special issue is hence to gather
innovative contributions on methods able to resist adversarial attacks
on deep neural networks applied both in image biometrics and
forensics. Therefore, it will encourage proposals of novel approaches
and more robust solutions.

Submissions are encouraged, but not limited, to the following topics:
Adversarial biometric recognition
Attack transferability in biometric applications
Physical attacks in biometric authentication systems
Attacks to person re-identification systems
Poisoned enrollment datasets
Multimodal biometric systems as a defense
Blind defense at test time for forensic and biometric systems
Novel counter-forensics methods
Design of robust forgery detectors
Adversarial patches in forensic applications
Image anonymization
Adversarial attack and defense in video forensics
Steganography and steganalysis in adversarial settings
Cryptography-based methods

The submission system will be open around one week before the first
paper comes in. When submitting your manuscript please select the
article type "VSI: Adv. DL in Biom. & For.". Please submit your
manuscript before the submission deadline.  All submissions deemed
suitable to be sent for peer review will be reviewed by at least two
independent reviewers. Once your manuscript is accepted, it will go
into production, and will be simultaneously published in the current
regular issue and pulled into the online Special Issue. Articles from
this Special Issue will appear in different regular issues of the
journal, though they will be clearly marked and branded as Special
Issue articles.  Please see an example here:
Please ensure you read the Guide for Authors before writing your
manuscript. The Guide for Authors and the link to submit your
manuscript is available on the Journal's homepage.

Submission of papers: October 1st, 2019
Final acceptance notification: July 1st, 2020

Rama Chellappa, University of Maryland (USA)
Diego Gragnaniello, University Federico II of Naples (Italy)
Chang-Tsun Li, School of Information Technology, Deakin University, Geelong (Australia)
Francesco Marra, University Federico II of Naples (Italy)
Richa Singh, IIIT Delhi (India)