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Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation., , , and . Inf., 14 (9): 516 (2023)Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network., and . CoRR, (2019)Approximate MRAM: High-Performance and Power-Efficient Computing With MRAM Chips for Error-Tolerant Applications., , and . IEEE Trans. Computers, 72 (3): 668-681 (March 2023)Unsupervised IC Security with Machine Learning for Trojan Detection., , , , and . MWSCAS, page 20-24. IEEE, (2023)Secure Split-Test for preventing IC piracy by untrusted foundry and assembly., , and . DFTS, page 196-203. IEEE Computer Society, (2013)Towards the Avoidance of Counterfeit Memory: Identifying the DRAM Origin., , , , and . HOST, page 111-121. IEEE, (2020)Approximate MRAM: High-performance and Power-efficient Computing with MRAM Chips for Error-tolerant Applications., , and . CoRR, (2021)PreLatPUF: Exploiting DRAM Latency Variations for Generating Robust Device Signatures., , , and . IEEE Access, (2019)A Noninvasive Technique to Detect Authentic/Counterfeit SRAM Chips., , and . ACM J. Emerg. Technol. Comput. Syst., 19 (2): 11:1-11:25 (April 2023)LDPUF: Exploiting DRAM Latency Variations to Generate Robust Device Signatures., , , , and . CoRR, (2018)