Diverse Adversaries for Mitigating Bias in Training

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Adversarial removal of demographic attributes from text data

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Towards robust and privacy-preserving text representations

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What’s in a domain? learning domain-robust text representations using adversarial training

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Bias in bios: A case study of semantic representation bias in a high-stakes setting

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Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, and Vicente Ordonez. 2019 · 2019

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Null it out: Guarding protected attributes by iterative nullspace projection

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