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Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators.

, , , , , , and . MWSCAS, page 821-825. IEEE, (2023)

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Reducing Execution Unit Leakage Power in Embedded Processors., and . SAMOS, volume 4017 of Lecture Notes in Computer Science, page 299-308. Springer, (2006)A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks., , and . ICPADS, page 163-166. IEEE, (2019)History & Variation Trained Cache (HVT-Cache): A process variation aware and fine grain voltage scalable cache with active access history monitoring., , , , and . ISQED, page 498-505. IEEE, (2012)Post-synthesis sleep transistor insertion for leakage power optimization in clock tree networks., , , , and . ISQED, page 499-507. IEEE, (2010)A fault tolerant cache architecture for sub 500mV operation: resizable data composer cache (RDC-cache)., , , and . CASES, page 251-260. ACM, (2009)Large Language Models for Code Analysis: Do LLMs Really Do Their Job?, , , , , , , , , and 1 other author(s). CoRR, (2023)Efficient utilization of adversarial training towards robust machine learners and its analysis., , , and . ICCAD, page 78. ACM, (2018)Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing., , , , , and . BIBM, page 1890-1894. IEEE, (2023)Threats on Logic Locking: A Decade Later., , , and . ACM Great Lakes Symposium on VLSI, page 471-476. ACM, (2019)StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2020)