Exploiting device-level non-idealities for adversarial attacks on ReRAM-based neural networks

Exploiting device-level non-idealities for adversarial attacks on ReRAM-based neural networks

Resistive memory (ReRAM) or memristor devices offer the prospect of more efficient computing. While memristors have been used for a variety of computing systems, their usage has gained significant popularity in the domain of deep learning. Weight matrices in deep neural networks can be mapped to cro...

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Bibliografiske detaljer
Main Authors: Tyler McLemore, Robert Sunbury, Seth Brodzik, Zachary Cronin, Elias Timmons, Dwaipayan Chakraborty
Format: Article
Sprog:English
Udgivet: Elsevier 2023-07-01
Serier:Memories - Materials, Devices, Circuits and Systems
Fag:
ReRAM
Memristor
Non-ideality
Neural network
Adversarial attack
Explainable AI
Online adgang:http://www.sciencedirect.com/science/article/pii/S2773064623000300

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http://www.sciencedirect.com/science/article/pii/S2773064623000300

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