WACV2024 - Workshop on Manipulation, Adversarial, and Presentation Attacks in Biometrics
January 8, 2024
January 8, 2024
Synthetic content creation has advanced in the past years with new developments deep learning. Newer architectures like Generative Adversarial Networks (GAN) can now produce ultra-realistic content with perceptually pleasing geometry and surface texture challenging the human perception. While this realistic content is very welcomed in entertainment sector, the same can pose severe threats to secure access control systems in biometric applications. Image manipulation attacks and video manipulation attacks have now evolved to a better position and can defeat the biometric systems. Another simple yet effective attack is the morphing attack which can compromise multiple identities using a single manipulated image. At the same time, approaches like Face2Face, Neural Textures and DeepFakes can also have a large negative impact on the digital information channels. The attack modes have made use of both traditional manipulation approaches and recent adversarial machine learning approaches (eg., GAN). Several governmental agencies have started to seek for reliable solutions to combat the challenge by funding projects like DARPA MediFor SAVI, DARPA ODIN BATL, and EU H2020 iMARS..
This Workshop On Manipulation, Adversarial and Presentation Attacks In Biometrics in WACV-2024 is being organized to report the advancements in creation, evaluation, impact and mitigation measures for adversarial attacks on biometrics systems. The workshop also targets submissions addressing the analyses and mitigation measures for function creep attacks. In this year's addition of the workshop, the scope will also consider the rising impact of synthetic realities and the mechanisms that they can affect biometric systems, as well as protection strategies to mitigate their adversarial use. This half-day workshop is a sixth edition of the special session held, previously held in conjunction with BTAS-2018, LA, USA, BTAS-2019, Tampa, FL, WACV 2020, WACV2022, and WACV 2023, respectively.
Papers are invited to report on following topics, but not limited to:
Physical attacks on biometric systems.
Image manipulation attacks in biometrics verification and identification (e.g., PAD).
Video manipulation attacks.
Morphing attacks and detection
Generalizable attack detection algorithms
Forensic behavioral biometrics
Soft Biometrics cues for authenticity verification of biometric data
Multimedia forensics in biometrics
Integrity verification and authentication of digital content in biometrics.
Combination of multimodal decisions for authenticity verification in biometrics.
Function creep attacks effecting the privacy of biometric systems.
Human perception and decisions in biometric data authenticity verification
Ethical and societal implications of emerging manipulations.
Case studies based on the aforementioned topics.
Submission Guidelines:
Papers presented at the WACV workshops will be published as part of the "WACV Workshops Proceedings" and should, therefore, follow the same presentation guidelines as the main conference. Workshop papers will be included in IEEE Xplore, but will be indexed separately from the main conference papers. Paper submission guidelines of WACV can be accessed through this link.
For review, a complete paper should be submitted using the 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 this CMT link.
Camera-ready Submission Guidelines:
To be announced by email
Important Dates
Workshop: The workshop will take place on WACV 2024- January 8, 2024
Full Paper Submission: 17th 29th October , 2023 (23:59 PST) (extended)
Acceptance Notice: 1316th November, 2023 (23:59 PST)
Camera-Ready Paper: 1519th November, 2023 (23:59 PST)
Program:
The workshop will be held on January 8, 2024.
The program times are in HST (Hawaii Standard Time)
Workshop will be chaired in person by Raghavendra Ramachandra, NTNU, Norway
Virtual participation details are shared by email.
Invited speaker: Irene Amerini, Sapienza University of Rome
Multimedia forensics to counter misinformation: current research and challenges
The diffusion of easy-to-use editing tools accessible to a wider and wider public induced in the last decade growing issues about the dependability of digital media. Concerns recently reached an unprecedented level thanks to the development of a new class of artificial intelligent techniques capable of producing high quality fake images and videos (e.g., Deepfakes and AI-generated media) without requiring any specific technical know-how from the users. The problem of misinformation has been exacerbated by the prevalence of such artificially generated contents and by the speed at which information spreads through social media. The continuous progress in deep learning has led to the emerging of increasingly sophisticated technologies for generating deceptive content (e.g., StableDiffusion, Midjourney, Dall-E2) as well as developing corresponding detection methods. Multimedia Forensics is constantly working on devising countermeasures to detect manipulated and fake images to hinder their dissemination. This seminar aims at describing the latest findings and advancements in deep learning approaches for identifying fake media and highlighting the research challenges ahead.
About Irene
Irene Amerini is Associate Professor at DIAG, the Department of Computer, Control and Management Engineering of Sapienza University of Rome in Italy where she leads the ALCORLab Multimedia Forensics Research Team. Previously she was a postdoctoral researcher at MICC Media Integration and Communication Center, University of Florence where she received the Ph.D. in computer engineering in 2011.
In 2018 she obtained a Visiting Research Fellowship at Charles Sturt University offered by the Australian Government through the Endeavour Scholarship & Fellowship program.
She is currently a member of the IEEE Forensics and Security Technical Committee, EURASIP Biometrics, Data Forensics, and Security and of IAPR Computational Forensics Committee. She is Associate Editor of the Elsevier Journal of Information Security and Applications and guest editors of many special issues in various journals on the theme of multimedia content security technologies and deep learning for image and video forensics.