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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
202019
(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
172019
Feshi: Feature map-based stealthy hardware intrinsic attack
TA Odetola, F Khalid, H Mohammed, TC Sandefur, SR Hasan
IEEE Access 9, 115370-115387, 2021
122021
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
122019
A scalable multilabel classification to deploy deep learning architectures for edge devices
TA Odetola, O Oderhohwo, SR Hasan
arXiv preprint arXiv:1911.02098, 2019
112019
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
102021
Stain: Stealthy avenues of attacks on horizontally collaborated convolutional neural network inference and their mitigation
AA Adeyemo, JJ Sanderson, TA Odetola, F Khalid, SR Hasan
IEEE Access 11, 10520-10534, 2023
82023
Hardening hardware accelerartor based CNN inference phase against adversarial noises
TA Odetola, A Adeyemo, SR Hasan
2022 IEEE International Symposium on Hardware Oriented Security and Trust …, 2022
82022
Towards enabling dynamic convolution neural network inference for edge intelligence
A Adeyemo, T Sandefur, TA Odetola, SR Hasan
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 1833-1837, 2022
72022
Security analysis of capsule network inference using horizontal collaboration
A Adeyemo, F Khalid, T Odetola, SR Hasan
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS …, 2021
72021
How secure is distributed convolutional neural network on iot edge devices?
H Mohammed, TA Odetola, SR Hasan
arXiv preprint arXiv:2006.09276, 2020
72020
2l-3w: 2-level 3-way hardware–software co-verification for the mapping of convolutional neural network (cnn) onto fpga boards
TA Odetola, KM Groves, Y Mohammed, F Khalid, SR Hasan
SN Computer Science 3, 1-25, 2022
52022
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
52020
Fm-modcomp: Feature map modification and hardware–software co-comparison for secure hardware accelerator-based cnn inference
TA Odetola, A Adeyemo, F Khalid, SR Hasan
Microprocessors and Microsystems 100, 104827, 2023
42023
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
42020
Labani: Layer-based noise injection attack on convolutional neural networks
TA Odetola, F Khalid, SR Hasan
Proceedings of the Great Lakes Symposium on VLSI 2022, 143-146, 2022
22022
Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
H Mohammed, TA Odetola, N Guo, SR Hasan
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS …, 2021
22021
WORDA: A Winograd Offline-Runtime Decomposition Algorithm for Faster CNN Inference
J Nelson, T Odetola, SR Hasan
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS …, 2021
12021
Hardware Verification and Security Challenges in Distributed Convolutional Neural Network Inference
TA Odetola
Tennessee Technological University, 2022
2022
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
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Artiklar 1–20