This paper studies the effects of adversarial attacks on Deep Neural Networks (DNN) constructed using memristor crossbar arrays and analog components.
Abstract—This paper studies the effects of adversarial attacks on Deep Neural Networks (DNN) constructed using memristor crossbar arrays and analog ...
This paper studies the effects of adversarial attacks on Deep Neural Networks (DNN) constructed using memristor crossbar arrays and analog components.
ISQED'23 Keynotes 1 & 2 · HW/SW Codesign for Approximate In-Memory Computing · On the Resiliency of an Analog Memristive Architecture against Adversarial Attacks.
On the resiliency of an analog memristive architecture against adversarial attacks. BR Paudel, V Pentsos, S Tragoudas. 2022 23rd International Symposium on ...
Apr 25, 2024 · Bijay Raj Paudel, Vasileios Pentsos, Spyros Tragoudas: On the Resiliency of an Analog Memristive Architecture against Adversarial Attacks.
Abstract— Deep Neural Networks (DNNs) have been shown to be prone to adversarial attacks. Memristive crossbars, being.
On the Resiliency of an Analog Memristive Architecture against Adversarial Attacksmore. by Bijay Raj Paudel. Publisher: IEEE. Publication Name: 2022 23rd ...
... architecture decisions, with new machine learning based algorithms ... On the Resiliency of an Analog Memristive Architecture against Adversarial Attacks.
On the Resiliency of an Analog Memristive Architecture against Adversarial Attacks. Conference Paper. Apr 2022. Vasileios Pentsos ...