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Levan Mikeladze

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#machine learning Preprint Aug 2026

RL-FAT: Reinforcement Learning for Fair Adversarial Training

RL-FAT is proposed, a reinforcement-learning-inspired fair adversarial training framework that uses policy-gradient based feedback from adversarial predictions to improve adversarial robustness while promoting a more balanced robustness distribution across classes.

Tejaswini Medi, Levan Mikeladze, Margret Keuper · 0 citations