FairNVT: Fair Classification via Noise Injection in Vision Transformers
A lightweight debiasing framework for pretrained transformer-based encoders that improves prediction fairness while preserving task performance and reduces sensitive-attribute attacker accuracy, improves fairness metrics such as demographic parity difference and equalized odds, and maintains competitive task performance.
Qiaoyue Tang, Sepidehsadat Hosseini, Mengyao Zhai et al.
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