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Committees

Program

Keynote Speakers

Paper Submission

8:50 - 9:00

Welcome

9:00 - 10:00

Keynote Speaker I

Chair: Victor Sanchez, University of Warwick

AI-enabled Digital Forensics

Professor Anderson Rocha, University of Campinas, Brazil

Session 1

Chair: Yu Guan, University of Warwick

1. Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors
X. Zhao and M. Stamm

Dept. of Electrical and Computer Engineering, Drexel Univerisity Philadelphia, USA

2. Improving Detection of Unprecedented Anti-forensics Attacks on Sensor Pattern Noises Through Generative Adversarial Networks
Y. Quan¹ and C.-T. Li² 

¹ Warwick Manufacturing Group, University of Warwick, UK
² School of Info. Technology, Deakin University, Australia

3. Image Watermarking Backdoor Attacks in CNN-based classification tasks
G. Abbate¹, I. Amerini¹, and R. Caldelli^2,3

¹ Sapienza University of Rome, Rome, Italy
² CNIT, Florence, Italy
³ Universitas Mercatorum, Rome, Italy

4. Device (In)Dependence of Deep Learning-based Image Age Approximation

R. Joechl and A. Uhl

Dept .of Artificial Intelligence and Human Interfaces, University of Salzburg, Austria

11:40 - 13:00

Break

13:00 - 14:00

Keynote Speaker II

Chair: Irene Armerini, Sapienza University of Rome

Deepfake detection: humans vs. machines

Dr. Pavel Korshunov, IDIAP Research Institute, Switzerland

Break

14:20 - 15:40

Session 2

Chair: Roberto Leyva, University of Warwick

1. DepthFake: a depth-based strategy for detecting Deepfake videos
L. Maiano, L. Papa, K. Vocaj, and I. Amerini

Sapienza University of Rome, Rome, Italy

 
2. AEXANet: An End-to-End Deep Learning based Voice Anti-spoofing System
Z. Anwar¹, A. Javed¹, and K. Malik² 

¹ Software Engineering Department, University of Engineering and Technology, Taxila, Pakistan
² Dept. of Computer Science & Eng., Oakland University, Rochester, USA

3. Document forgery detection using double JPEG compression
T. Taburet¹, K. Rouis¹, M. Coustaty¹, P. Gomez-Krämer¹, N. Sidere¹, S. Kébairi², and V. Poulain D'Andecy² 

¹ L3i Laboratoire
² La Rochelle Universite, La Rochelle, France

 
4. An Effective Training Strategy for Enhanced Source Camera Device Identification
Manisha¹, C.-T. Li², and K. A. Kotegar¹

¹ Dept. of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education Manipal, India
² School of Info. Technology, Deakin University, Australia

15:40- 15:50

Closing