A More Experimental Results of Empirical Exploration

Neural Information Processing Systems 

These observations suggest the existence of a tradeoff between average robustness and robust fairness. We use var and rob.acc to denote the variance of class-wise robust accuracy, and average robust accuracy, respectively. We use var and rob.acc to denote the variance of class-wise robust accuracy, and average robust accuracy, respectively. B.1 Naturally Trained Linear model We use var and rob.acc to denote the variance of class-wise robust accuracy, and average robust accuracy, respectively. For any classifier f ( x) in Equation ( 2), we first calculate its natural risk.

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