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Sep, 2023
深度神经网络分类器中的后训练过拟合缓解
Post-Training Overfitting Mitigation in DNN Classifiers
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Hang Wang, David J. Miller, George Kesidis
TL;DR
利用后期训练基于最大边界的正则化方法有效缓解了过拟合问题,同时提高了攻击无关的泛化准确率。
Abstract
Well-known (non-malicious) sources of
overfitting
in deep neural net (DNN) classifiers include: i) large class imbalances; ii) insufficient training-set diversity; and iii) over-training. In recent work, it was shown that backdoor
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