Hidden Backdoor Attack against Semantic Segmentation Models

Deep neural networks (DNNs) are vulnerable to the \emph{backdoor attack}, which intends to embed hidden backdoors in DNNs by poisoning training data. The attacked model behaves normally on benign samples, whereas its prediction will be changed to a particular target label if hidden backdoors are act...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Yiming, Li, Yanjie, Lv, Yalei, Jiang, Yong, Xia, Shu-Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security
Online-Zugang:	Volltext bestellen
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