Toward Intrinsic Adversarial Robustness Through Probabilistic Training

Modern deep neural networks have made numerous breakthroughs in real-world applications, yet they remain vulnerable to some imperceptible adversarial perturbations. These tailored perturbations can severely disrupt the inference of current deep learning-based methods and may induce potential securit...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 10., Seite 3862-3872
1. Verfasser:	Dong, Junhao (VerfasserIn)
Weitere Verfasser:	Yang, Lingxiao, Wang, Yuan, Xie, Xiaohua, Lai, Jianhuang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article