Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models (arxiv.org) 2 points by haneefmubarak 3y ago ↗ HN
[–] schoen 3y ago ↗ Basically, by putting a relatively small number of adversarial examples into the training data of a text-to-image model (that don't necessarily look suspicious to a human observer), they can make it completely mislearn a concept.
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