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Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators., , , и . DAC, стр. 19:1-19:6. ACM, (2018)HaDeS: architectural synthesis for <u>h</u>eterogeneous <u>d</u>ark <u>s</u>ilicon chip multi-processors., , , и . DAC, стр. 173:1-173:7. ACM, (2013)Sphynx: ReLU-Efficient Network Design for Private Inference., , , , и . CoRR, (2021)Characterizing and Optimizing End-to-End Systems for Private Inference., , , , и . CoRR, (2022)CryptoNAS: Private Inference on a ReLU Budget., , , и . NeurIPS, (2020)DeepReDuce: ReLU Reduction for Fast Private Inference., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4839-4849. PMLR, (2021)Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks., , , , , , и . DAC, стр. 91-96. IEEE, (2021)Low cost permanent fault detection using ultra-reduced instruction set co-processors., , и . DATE, стр. 933-938. EDA Consortium San Jose, CA, USA / ACM DL, (2013)Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants., , , , , и . USENIX Security Symposium, стр. 2205-2222. USENIX Association, (2023)Precoding-oriented Massive MIMO CSI Feedback Design., , , , , и . ICC, стр. 4973-4978. IEEE, (2023)