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Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection.

, , , , , , , and . ACM Trans. Design Autom. Electr. Syst., 25 (5): 48:1-48:31 (2020)

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AutoChip: Automating HDL Generation Using LLM Feedback., , , , , and . CoRR, (2023)Qubit efficient quantum algorithms for the vehicle routing problem on quantum computers of the NISQ era., , , and . CoRR, (2023)NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs., , , , , , , and . CoRR, (2020)Towards decentralized system-level security for MPSoC-based embedded applications., , and . J. Syst. Archit., (2017)NNoculation: Catching BadNets in the Wild., , , , , , , and . AISec@CCS, page 49-60. ACM, (2021)Special Session: Machine Learning for Semiconductor Test and Reliability., , , , , , , , , and . VTS, page 1-11. IEEE, (2021)Distinguishing AI- and Human-Generated Code: A Case Study., , and . SCORED@CCS, page 17-25. ACM, (2023)ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning., , , , , , , and . DAC, page 1-6. IEEE, (2023)Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP., , , , , , , , , and 3 other author(s). DAC, page 1299-1302. IEEE, (2021)An Automated Security-Aware Approach for Design of Embedded Systems on MPSoC., , and . ACM Trans. Embed. Comput. Syst., 16 (5s): 143:1-143:20 (2017)