LukasStruppek/Exploiting-Cultural-Biases-via-Homoglyphs
[Journal of Artificial Intelligence Research] Source code for our paper "Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis".
This project helps AI researchers and developers understand and mitigate hidden cultural biases in text-to-image models like DALL-E 2 or Stable Diffusion. It takes textual descriptions, optionally modified with non-Latin characters or homoglyphs, and generates images or analyzes model behavior to expose biases. The output includes biased images, quantitative bias scores, and a fine-tuned model robust against homoglyph attacks.
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Use this if you are a researcher or developer working with text-to-image AI and want to detect, analyze, or unlearn cultural biases introduced by subtle textual manipulations.
Not ideal if you are looking for a general-purpose text-to-image generation tool or if you are not familiar with AI model training and evaluation.
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Python
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MIT
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Last pushed
Jan 08, 2024
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