MaGNIFIES: Manageable GAN Image Augmentation Framework for Inspection of Electronic Systems

Electronic counterfeiting is a long-lasting problem that continues to cost original manufacturers billions, fund organized crime, and jeopardize national security and mission-critical infrastructures. Manual inspection is a popular and standardized way to detect counterfeit electronic components, bu...

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Veröffentlicht in:	Journal of hardware and systems security Jg. 8; H. 1; S. 44 - 59
Hauptverfasser:	Ghosh, Pallabi, Lee, Gijung, Zhu, Mengdi, Dizon-Paradis, Olivia P., Botero, Ulbert J., Woodard, Damon L., Forte, Domenic
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.03.2024 Springer Nature B.V
Schlagworte:	Annotations Artificial neural networks Automation Circuits and Systems Cloning Computer Hardware Computer vision Corrosion Counterfeit Counterfeiting Critical infrastructure Data augmentation Datasets Deep learning Defects Electronic components Electronic systems Engineering Image quality Information Systems Applications (incl.Internet) Inspection Machine learning Multiplication Supply chains Synthetic data Systems and Data Security Image quality Counterfeit data augmentation CNN Generative adversarial network Machine learning Defect detection
ISSN:	2509-3428, 2509-3436
Online-Zugang:	Volltext
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