Synthesizing Physical Backdoor Datasets: An Automated Framework Leveraging Deep Generative Models

Backdoor attacks, representing an emerging threat to the integrity of deep neural networks, have garnered significant attention due to their ability to compromise deep learning systems clandestinely. While numerous backdoor attacks occur within the digital realm, their practical implementation in re...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	Sze Jue Yang, La, Chinh D, Nguyen, Quang H, Kok-Seng Wong, Anh Tuan Tran, Chan, Chee Seng, Doan, Khoa D
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets Machine learning Recipes Synthesis
Online-Zugang:	Volltext
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