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Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection.

, , , , , , , and . ACM Trans. Design Autom. Electr. Syst., 25 (5): 48:1-48:31 (2020)

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Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 38 (6): 1175-1187 (2019)Detecting multi-layer layout hotspots with adaptive squish patterns., , , , and . ASP-DAC, page 299-304. ACM, (2019)SRAF insertion via supervised dictionary learning., , , , and . ASP-DAC, page 406-411. ACM, (2019)VLSI mask optimization: From shallow to deep learning., , , , , , and . Integr., (2021)Interpretable fuzzy clustering using unsupervised fuzzy decision trees., , , and . Inf. Sci., (2022)DTEC: Decision tree-based evidential clustering for interpretable partition of uncertain data., , , , and . Pattern Recognit., (December 2023)Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection., , , , , , , and . ACM Trans. Design Autom. Electr. Syst., 25 (5): 48:1-48:31 (2020)Machine Learning for Electronic Design Automation: A Survey., , , , , , , , , and 6 other author(s). CoRR, (2021)Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent., , and . CoRR, (2024)Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection., , , , , , , and . CoRR, (2019)