When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
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Freshness: 2026-04-02T02:30:40.136932+00:00Claims: 0
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PDF: https://arxiv.org/pdf/2603.16134v1
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Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
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When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
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Last verification: 2026-04-02T02:30:40.136ZFreshness: fresh
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Coverage: 17%
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