Program
Deep Learning Multimedia Forensics. Combating fake media and misinformation.
The Workshop will be held in Room 2i (for the venue details check the conference program https://2023.ecmlpkdd.org/attending/venues-and-participation/)
9-9.15
Title: Adversarial Magnification to Deceive Deepfake Detection through Super Resolution
Authors: Davide Alessandro Coccomini (CNR-ISTI)*; Roberto Caldelli (CNIT, National Interuniversity Consortium for Telecommunications and Universitas Mercatorum); Giuseppe Amato (CNR-ISTI); Fabrizio Falchi (CNR-ISTI); Claudio Gennaro (CNR-ISTI)
5’ Q&A Session
9.20-9.35
Title: Improving Tiled Evolutionary Adversarial Attack
Authors: Vera Cervickova (Charles University, Faculty of Mathematics and Physics)*; Martin Pilát (Charles University, Faculty of Mathematics and Physics)
5’ Q&A Session
9.40-9.55
Title: Tracing Videos to their Social Network with Robust DCT Analysis
Authors: Ben J Lewis (University of Warwick)*; Victor Sanchez (University of Warwick)
5’ Q&A Session
10-10.50 Keynote Talk
Title: Deep Learning for Image and Video Forensics: Mine of Information or Minefield?
Presenter: Martino Jeriam, Amped Software, CEO and Founder
10’ Q&A Session
11.00-11.30 Coffee Break ☕
Ongoing Works Talk
11.35-11.40
Title: Face Synthesis Detection
Speaker: Roberto Leyva Fernandez (University of Warwick)
11.40-11.45
Title:“Towards automated security and risk assessment of remote identity proofing procedures”.
Speaker:Cecilia Pasquini (Fondazione Bruno Kessler)
11.45-11.50
Title: Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Speaker: Federico Siciliano (Sapienza University of Rome)
10’ Q&A Session on the Ongoing Works Talks
12.00-12.15
Title: DivNoise: A Data Collection for Source Identification on Diverse Camera Sensors
Authors: Alberto Casagrande (University of Trento); Alessio Belli (University of Trento); Cecilia Pasquini (Fondazione Bruno Kessler); Duc-Tien Dang-Nguyen (University of Bergen)*
5’ Q&A Session
12.20-12.35
Title: Detecting Face Synthesis Using a Concealed Fusion Model
Authors: Roberto Leyva Fernandez (University of Warwick)*; Victor Sanchez (University of Warwick); Gregory Epiphaniou (University of Warwick); Carsten Maple (University of Warwick)
5’ Q&A Session
12.40-12.55
Title: All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection
Authors: Daniele Mari (Università degli studi di Padova)*; Davide Salvi (Politecnico di Milano); Paolo Bestagini (Politecnico di Milano); Simone Milani (University of Padova)
5’ Q&A Session
13.00 Workshop Closing Conclusion and Remarks