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Found 8 papers, 0 papers with code
Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
We further propose a library-based approach to design scalable and dynamic distributed CNN inference on the fly leveraging partial-reconfiguration techniques, which is particularly suitable for resource-constrained edge devices.
Security Analysis of Capsule Network Inference using Horizontal Collaboration
Similar to traditional CNNs, CapsNet is also vulnerable to several malicious attacks, as studied by several researchers in the literature.
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
In this paper, dynamic deployment of Convolutional Neural Network (CNN) architecture is proposed utilizing only IoT-level devices.
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 (CNN) into resource constrained embedded systems (e. g. low end FPGAs) is a growing research area.
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
The deployment of CNN on resource-constrained edge devices have proved challenging.
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
To the best of our knowledge this is the first work that proposes a 2-Level 3-Way (2L-3W) hardware-software co-verification methodology and provides a step-by-step guide for the successful mapping, deployment and verification of DLA on FPGA boards.
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
In this paper, we propose a methodology that solves this problem by extending the capability of existing multi-label classification and provide models with lower latency that requires smaller memory size when deployed on edge devices.
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
In this paper, we introduce a hardware Trojan attack called Input Interception Attack (IIA).
