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06/12/2023
Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems
Recent animal studies have shown that biological brains can enter a low ...
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04/12/2023
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Logic locking has been proposed to safeguard intellectual property (IP) ...
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10/23/2022
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
Binary Neural Networks are a promising technique for implementing effici...
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07/06/2022
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information
Adversarial attacks on state-of-the-art machine learning models pose a s...
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06/15/2021
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
Artificial neural networks (ANNs) have gained significant popularity in ...
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11/17/2020
Exploring Energy-Accuracy Tradeoffs in AI Hardware
Artificial intelligence (AI) is playing an increasingly significant role...
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06/08/2020
Energy Constraints Improve Liquid State Machine Performance
A model of metabolic energy constraints is applied to a liquid state mac...
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06/13/2019
A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing
We propose a domino logic architecture for memristor-based neuromorphic ...
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09/12/2018
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic
This paper presents and demonstrates a stochastic logic time delay reser...
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07/17/2017
Current-mode Memristor Crossbars for Neuromemristive Systems
Motivated by advantages of current-mode design, this brief contribution ...
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02/13/2017
Design of a Time Delay Reservoir Using Stochastic Logic: A Feasibility Study
This paper presents a stochastic logic time delay reservoir design. The ...
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01/27/2016
