Tolulope Odetola
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A stealthy hardware trojan exploiting the architectural vulnerability of deep learning architectures: Input interception attack (iia)
TA Odetola, HR Mohammed, SR Hasan
arXiv preprint arXiv:1911.00783, 2019
112019
A scalable multilabel classification to deploy deep learning architectures for edge devices
TA Odetola, O Oderhohwo, SR Hasan
arXiv preprint arXiv:1911.02098, 2019
62019
(HIADIoT): Hardware intrinsic attack detection in Internet of Things; Leveraging power profiling
H Mohammed, TA Odetola, SR Hasan, S Stissi, I Garlin, F Awwad
2019 ieee 62nd international midwest symposium on circuits and systems …, 2019
62019
2l-3w: 2-level 3-way hardware-software co-verification for the mapping of deep learning architecture (dla) onto fpga boards
TA Odetola, KM Groves, SR Hasan
arXiv preprint arXiv:1911.05944, 2019
52019
How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
H Mohammed, TA Odetola, SR Hasan
arXiv preprint arXiv:2006.09276, 2020
12020
SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN)
TA Odetola, SR Hasan
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
2021
An Edge Intelligence Framework for Resource Constrained Community Area Network
O Oderhohwo, H Mohammed, T Odetola, TN Guo, S Hasan, F Dogbe
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems …, 2020
2020
Deployment of Object Detection Enhanced with Multi-label Multi-classification on Edge Device
O Oderhohwo, TA Odetola, H Mohammed, SR Hasan
2020 IEEE 63rd International Midwest Symposium on Circuits and Systems …, 2020
2020
Hardware/Software Co-verification of DNN for IoT Edge Devices: Leveraging FPGAs
K Groves, T Odetola
Proceedings of Student Research and Creative Inquiry Day 3, 2019
2019
Anomaly Detection In IoT Devices Using Data Mining Techniques
TA Odetola, H Mohammed, SR Hasan, W Eberle
Proceedings of Student Research and Creative Inquiry Day 2, 2018
2018
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Artiklar 1–10