1st AADD‑2025 Challenge: Adversarial Attacks on Deepfake Detectors

We are very proud to announce that the 1st AADD‑2025 Challenge: Adversarial Attacks on Deepfake Detectors, held as a grand challenge at ACM Multimedia 2025, was a remarkable success.!! The challenge brought together teams from around the world to address a critical and timely issue: how synthetic media detection systems can be compromised by adversarial manipulations.
With rigorous evaluation, a rich dataset of GAN- and diffusion-based deepfake images in both high- and low-quality resolutions, and a leaderboard revealing outstanding contributions, the event provided a powerful forum for advancing the state of the art in adversarial resilience for deepfake detectors.
We extend our deepest thanks to the organisers of the challenge:

Organizers
  • Luca Guarnera, Research Fellow, Department of Mathematics & Computer Science, University of Catania, Italy
  • Francesco Guarnera, Research Fellow, Department of Mathematics & Computer Science, University of Catania, Italy
  • Sebastiano Battiato, Full Professor, Department of Mathematics & Computer Science, University of Catania, Italy
  • Giovanni Puglisi, Associate Professor, Department of Mathematics & Computer Science, University of Cagliari, Italy
  • Zahid Akhtar, Associate Professor, State University of New York Polytechnic Institute, USA
  • Mirko Casu, PhD Student, Department of Mathematics & Computer Science, University of Catania, Italy
  • Orazio Pontorno, PhD Student, Department of Mathematics & Computer Science, University of Catania, Italy
  • Claudio Vittorio Ragaglia, PhD Student, Department of Mathematics & Computer Science, University of Catania, Italy
A special thanks to all participating teams.

#Deepfake #AdversarialDeepfake #acmmultimedia2025 #IPLab
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