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Attacking Split Manufacturing from a Deep Learning Perspective., , , , , , , and . CoRR, (2020)GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists., , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (8): 2435-2448 (2022)Rethinking split manufacturing: An information-theoretic approach with secure layout techniques., , , , , and . ICCAD, page 329-326. IEEE, (2017)A Needle in the Haystack: Inspecting Circuit Layout to Identify Hardware Trojans., , and . IACR Cryptol. ePrint Arch., (2023)Customized locking of IP blocks on a multi-million-gate SoC., , , and . ICCAD, page 59. ACM, (2018)Attacking Split Manufacturing from a Deep Learning Perspective., , , , , , , and . DAC, page 135. ACM, (2019)What to Lock?: Functional and Parametric Locking., , , , , and . ACM Great Lakes Symposium on VLSI, page 351-356. ACM, (2017)ATPG-based cost-effective, secure logic locking., , , and . VTS, page 1-6. IEEE Computer Society, (2018)CAS-Unlock: Unlocking CAS-Lock without Access to a Reverse-Engineered Netlist., and . IACR Cryptology ePrint Archive, (2019)Truly Stripping Functionality for Logic Locking: A Fault-Based Perspective., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (12): 4439-4452 (2020)