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$PoisonedGNN$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems., , , , and . IEEE Trans. Computers, 72 (10): 2822-2834 (October 2023)Games, Dollars, Splits: A Game-Theoretic Analysis of Split Manufacturing., , , , and . IEEE Trans. Inf. Forensics Secur., (2021)Vulnerability Assessment of Ciphers To Fault Attacks Using Reinforcement Learning., , , , , and . IACR Cryptol. ePrint Arch., (2022)Spin-Based Reconfigurable Logic for Power- and Area-Efficient Applications., , , , and . IEEE Des. Test, 36 (3): 22-30 (2019)Securing Cloud FPGAs Against Power Side-Channel Attacks: A Case Study on Iterative AES., , , , and . CoRR, (2023)GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking., , , , , , and . CoRR, (2020)Power Side-Channel Attacks in Negative Capacitance Transistor (NCFET)., , , , , , , and . CoRR, (2020)MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction., , , and . DATE, page 694-699. IEEE, (2022)ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning., , , and . CCS, page 1275-1289. ACM, (2022)Security Promises and Vulnerabilities in Emerging Reconfigurable Nanotechnology-Based Circuits., , , , , and . IEEE Trans. Emerg. Top. Comput., 10 (2): 763-778 (2022)