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Machine Learning-Based Hotspot Detection: Fallacies, Pitfalls and Marching Orders.

, , and . ICCAD, page 1-8. ACM, (2019)

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Hardware-based attacks to compromise the cryptographic security of an election system., , , , and . ICCD, page 153-156. IEEE Computer Society, (2016)Functional Obfuscation of Hardware Accelerators through Selective Partial Design Extraction onto an Embedded FPGA., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 171-176. ACM, (2019)Design Space Exploration for Hotspot Detection., and . MTV, page 73-77. IEEE, (2019)Enhanced hotspot detection through synthetic pattern generation and design of experiments., , and . VTS, page 1-6. IEEE Computer Society, (2018)On Improving Hotspot Detection Through Synthetic Pattern-Based Database Enhancement., , and . CoRR, (2020)Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 40 (10): 2077-2089 (2021)Machine Learning-Based Hotspot Detection: Fallacies, Pitfalls and Marching Orders., , and . ICCAD, page 1-8. ACM, (2019)VIPER: A Versatile and Intuitive Pattern GenERator for Early Design Space Exploration., , and . ITC, page 1-7. IEEE, (2019)CASPER: CAD Framework for a Novel Transistor-Level Programmable Fabric., , , , , , and . ISCAS, page 1-5. IEEE, (2020)ATTEST: Application-Agnostic Testing of a Novel Transistor-Level Programmable Fabric., , , , , , and . VTS, page 1-6. IEEE, (2020)