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02/18/2022
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
Deep learning applications have achieved great success in numerous real-...
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09/22/2021
Security Analysis of Capsule Network Inference using Horizontal Collaboration
The traditional convolution neural networks (CNN) have several drawbacks...
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07/13/2021
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
In this paper, dynamic deployment of Convolutional Neural Network (CNN) ...
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06/13/2021
FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
Convolutional Neural Networks (CNN) have shown impressive performance in...
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03/16/2021
SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN)
Security of inference phase deployment of Convolutional neural network (...
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11/21/2020
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices
Traditional learning-based approaches for run-time Hardware Trojan detec...
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06/16/2020
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
Convolutional Neural Networks (CNN) has found successful adoption in man...
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11/14/2019
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
FPGAs have become a popular choice for deploying deep learning architect...
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11/05/2019
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
Convolution Neural Networks (CNN) have performed well in many applicatio...
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11/02/2019
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
Deep learning architectures (DLA) have shown impressive performance in c...
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07/30/2018
