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 |
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Sprache: | eng |
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