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Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination research paper by Hugging Face, 2026

Hugging Face · Aug 14, 2026 · Agents and evaluation · 0 citations · 285 upvotes · unverified

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What it shows

A new benchmark for AI-generated video detection reveals that current detectors fail to generalize across realistic crisis-related videos and become less reliable as content spreads socially.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Shuo Liang, Yixing Ma, Pengfei Zhou and 32 more
arXiv
2608.14391 · PDF
Citations
0, 0 influential · Semantic Scholar
Upvotes
285 · Hugging Face
Code
github.com/24029100313/RA-Bench
Lab
Hugging Face · on Companies · on Acquisitions · on Releases

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 0Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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