Adversarial Debiasing

Train models that actively resist encoding the protected attribute. Learn the adversarial-debiasing architecture (predictor + adversary), training stability and gradient-reversal tricks, evaluation after adversarial training (don't trust training-time metrics alone), and the limits of the approach (adversary capacity, leakage through other features).