Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformati...
Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformation
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Author / Creator
Liu, Yi , Yang, Guowei , Deng, Gelei , Chen, Feiyue , Chen, Yuqi , Shi, Ling , Zhang, Tianwei and Liu, Yang
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Ithaca: Cornell University Library, arXiv.org
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Contents
With the prevalence of text-to-image generative models, their safety becomes a critical concern. adversarial testing techniques have been developed to probe whether such models can be prompted to produce Not-Safe-For-Work (NSFW) content. However, existing solutions face several challenges, including low success rate and inefficiency. We introduce G...
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Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformation
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TN_cdi_proquest_journals_2928718933
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2928718933
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E-ISSN
2331-8422
