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b0a129f
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Parent(s):
13aafdb
refine
Browse files- src/display/about.py +1 -1
src/display/about.py
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@@ -50,7 +50,7 @@ This work helps improve the assessment and further promotes the advancement of M
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- <strong>Mitigating biases and stereotypes:</strong> Generative AI systems are known to have tendencies towards bias, stereotypes, and reductionism, when it comes to gender, race and national identities
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## Related Benchmarks
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- [<strong>UnlearnDiff Benchmark</strong>](https://github.com/OPTML-Group/Diffusion-MU-Attack): an evaluation benchmark built upon adversarial attacks (also referred to as adversarial prompts), in order to discern the <strong>trustworthiness of these safety-driven unlearned DMs</strong>.
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- <strong>Mitigating biases and stereotypes:</strong> Generative AI systems are known to have tendencies towards bias, stereotypes, and reductionism, when it comes to gender, race and national identities
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## Other Related Benchmarks
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- [<strong>UnlearnDiff Benchmark</strong>](https://github.com/OPTML-Group/Diffusion-MU-Attack): an evaluation benchmark built upon adversarial attacks (also referred to as adversarial prompts), in order to discern the <strong>trustworthiness of these safety-driven unlearned DMs</strong>.
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