14 citations · 16 across the 4 of their papers we have counts for
7 papers
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
Hawzhin Mohammed, Tolulope A. Odetola, Nan Guo +1
In this paper, dynamic deployment of Convolutional Neural Network (CNN) architecture is proposed utilizing only IoT-level devices. By partitioning and pipelining the CNN, it horizo…
FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack
Tolulope Odetola, Faiq Khalid, Travis Sandefur +2
To reduce the time-to-market and access to state-of-the-art techniques, CNN hardware mapping and deployment on embedded accelerators are often outsourced to untrusted third parties…
Collaborative Pipeline Using Opportunistic Mobile Resources via D2D for Computation-Intensive Tasks
Terry N. Guo, Hawzhin Mohammed, Syed R. Hasan
This paper proposes a mobile pipeline computing concept in a Device-to-Device (D2D) communication setup and studies related issues, where D2D is likely based on millimeter-wave (mm…
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
Hawzhin Mohammed, Tolulope A. Odetola, Syed Rafay Hasan
Convolutional Neural Networks (CNN) has found successful adoption in many applications. The deployment of CNN on resource-constrained edge devices have proved challenging. CNN dist…
A Stealthy Hardware Trojan Exploiting the Architectural Vulnerability of Deep Learning Architectures: Input Interception Attack (IIA)
Tolulope A. Odetola, Hawzhin Raoof Mohammed, Syed Rafay Hasan
Deep learning architectures (DLA) have shown impressive performance in computer vision, natural language processing and so on. Many DLA make use of cloud computing to achieve class…
EPIC: Efficient Privacy-Preserving Scheme with E2E Data Integrity and Authenticity for AMI Networks
Ahmad Alsharif, Mahmoud Nabil, Samet Tonyali +3
In Advanced Metering Infrastructure (AMI) networks, smart meters should send fine-grained power consumption readings to electric utilities to perform real-time monitoring and energ…