JJ-Vice/BAGM
All code and data necessary to replicate experiments in the paper BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models.
This project helps evaluate the security vulnerabilities of text-to-image generative AI models. It introduces 'backdoor attacks' that can subtly manipulate what images these AI models produce when given specific text prompts. AI security researchers or digital marketing professionals concerned about AI manipulation would use this to test and understand potential biases or unwanted outputs.
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Use this if you need to understand how text-to-image generative AI models can be manipulated to produce biased or targeted outputs.
Not ideal if you are looking to create new generative AI models or enhance their image generation capabilities without a focus on security evaluation.
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13
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 16, 2024
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