Now You See the Hate: Adaptive View Retrieval for Hidden Hateful Illusions
Hateful optical illusions expose a serious gap in current multimodal safety systems. On original-view hateful illusions, previous work shows that six moderation classifiers achieve at most 20.9 to 24.5% accuracy and nine state-of-the-art VLMs remain at or below 10.2% with illusion-aware prompting, leaving most hidden hate undetected. We formulate hidden hateful illusion detection as a perceptual retrieval problem and propose Adaptive View Retrieval. This retrieve-and-calibrate framework assembles a complementary view bank for the image and hidden-message templates, adaptively selects which views to trust, retrieves hidden-message identities, and calibrates whether the recovered evidence i...
| Authors | Qianpu Chen, Derya Soydaner |
|---|---|
| Primary category | cs.CV |
| Published | 21 July 2026 |
| Last updated at source | 22 July 2026 |
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