Improving the accuracy and robustness of RRAM-based in-memory computing against RRAM hardware noise and adversarial attacks

We present a novel deep neural network (DNN) training scheme and resistive RAM (RRAM) in-memory computing (IMC) hardware evaluation towards achieving high accuracy against RRAM device/array variations and enhanced robustness against adversarial input attacks. We present improved IMC inference accura...

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Veröffentlicht in:Semiconductor science and technology 2022-03, Vol.37 (3), p.34001
Hauptverfasser: Kiran Cherupally, Sai, Meng, Jian, Siraj Rakin, Adnan, Yin, Shihui, Yeo, Injune, Yu, Shimeng, Fan, Deliang, Seo, Jae-Sun
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Sprache:eng
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