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Found 3 papers, 1 papers with code
Severity Controlled Text-to-Image Generative Model Bias Manipulation
Charting the susceptibility of T2I models to such manipulation, we first expose the new possibility of a dynamic and computationally efficient exploitation of model bias by targeting the embedded language models.
Quantifying Bias in Text-to-Image Generative Models
Bias in text-to-image (T2I) models can propagate unfair social representations and may be used to aggressively market ideas or push controversial agendas.
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models
Based on the penetration level, BAGM takes the form of a suite of attacks that are referred to as surface, shallow and deep attacks in this article.
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