Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off

Futa Waseda, Ching-Chun Chang, Isao Echizen

Adversarial training often suffers from a robustness-accuracy trade-off, where achieving high robustness comes at the cost of accuracy. One approach to mitigate this trade-off is l…