Towards Unsupervised SEM Image Segmentation for IC Layout Extraction-Reference-Cited by-同舟云学术

Towards Unsupervised SEM Image Segmentation for IC Layout Extraction

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Workshop on Attacks and Solutions in Hardware Security
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Author:

Rothaug Nils¹^ORCID,Klix Simon¹^ORCID,Auth Nicole²^ORCID,Böcker Sinan²^ORCID,Puschner Endres¹^ORCID,Becker Steffen³^ORCID,Paar Christof¹^ORCID

Affiliation:

1. Max Planck Institute for Security and Privacy, Bochum, Germany

2. Bundeskriminalamt, Wiesbaden, Germany

3. Ruhr University Bochum & Max Planck Institute for Security and Privacy, Bochum, Germany

Funder

Deutsche Forschungsgemeinschaft

Bundesministerium für Bildung und Forschung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605769.3624000

Reference22 articles.

1. Yoshua Bengio , Aaron C Courville , and Pascal Vincent . 2012. Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs/1206.5539 , Vol. 1 , 2665 ( 2012 ), 2012. Yoshua Bengio, Aaron C Courville, and Pascal Vincent. 2012. Unsupervised feature learning and deep learning: A review and new perspectives. CoRR, abs/1206.5539, Vol. 1, 2665 (2012), 2012.

2. Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives

3. Delayered IC image analysis with template?based Tanimoto Convolution and Morphological Decision;Cheng Deruo;IET Circuits, Devices & Systems,2021

4. Hybrid $K$ -Means Clustering and Support Vector Machine Method for via and Metal Line Detections in Delayered IC Images;Cheng Deruo;IEEE Transactions on Circuits and Systems II: Express Briefs,2018

5. Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep Learning . MIT Press , Cambridge, MA, USA , Chapter 14, 499--523. http://www.deeplearningbook.org. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press, Cambridge, MA, USA, Chapter 14, 499--523. http://www.deeplearningbook.org.