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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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SAT-Hard Cyclic Logic Obfuscation for Protecting the IP in the Manufacturing Supply Chain., , , and . IEEE Trans. Very Large Scale Integr. Syst., 28 (4): 954-967 (2020)DFSSD: Deep Faults and Shallow State Duality, A Provably Strong Obfuscation Solution for Circuits with Restricted Access to Scan Chain., , , , , , and . VTS, page 1-6. IEEE, (2020)Hardware Trojan Detection Using Machine Learning: A Tutorial., , , , , , , , , and . ACM Trans. Embed. Comput. Syst., 22 (3): 46:1-46:26 (2023)Energy-Efficient Hardware for Language Guided Reinforcement Learning., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 131-136. ACM, (2020)On Designing Secure and Robust Scan Chain for Protecting Obfuscated Logic., , , and . ACM Great Lakes Symposium on VLSI, page 217-222. ACM, (2020)SRCLock: SAT-Resistant Cyclic Logic Locking for Protecting the Hardware., , and . ACM Great Lakes Symposium on VLSI, page 153-158. ACM, (2018)Conditional Classification: A Solution for Computational Energy Reduction., , , , and . ISQED, page 325-330. IEEE, (2021)Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization., , , , , and . ISQED, page 79-84. IEEE, (2021)NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures., , , and . ICCAD, page 79:1-79:9. IEEE, (2020)Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification., , , , , and . DAC, page 1:1-1:6. ACM, (2018)