Guarder: A Stable and Lightweight Reconfigurable RRAM-based PIM Accelerator for DNN IP Protection

Deploying deep neural networks (DNNs) on conventional digital edge devices faces significant challenges due to high energy consumption. A promising solution is the processing-inmemory (PIM) architecture with resistive random-access memory (RRAM), but RRAM-based systems suffer from imprecise weights...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Lin, Ning, Li, Yi, Li, Jiankun, Yang, Jichang, He, Yangu, Luo, Yukui, Shang, Dashan, Chen, Xiaoming, Qi, Xiaojuan, Wang, Zhongrui
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Artificial neural networks Contrastive training Cryptography Energy consumption Hardware IP Protection PIM Programming Protection Reconfigration Robustness Software Software reliability Training
Online-Zugang:	Volltext
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