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This paper challenges the prevailing view that rote memorization causes training data exposure to reconstruction attacks, showing instead that adversarial non-robust features are the true cause. The authors introduce AntiAdversarial Training (AT-AT) that intentionally learns non-robust features to achieve superior reconstruction defense and higher accuracy.