30 citations · 44 across the 14 of their papers we have counts for
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cs.LG2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang +2
White-box Adversarial Example (AE) attacks towards Deep Neural Networks (DNNs) have a more powerful destructive capacity than black-box AE attacks in the fields of AE strategies. H…
cs.LG2021★ 4 cited
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Yuzhou Lin, Xiaolin Chang
Deep learning (DL) models for image-based malware detection have exhibited their capability in producing high prediction accuracy. But model interpretability is posing challenges t…