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Shayan (Sean/Sansón) Taheri, Ph.D. - Software Engineer - American Permanent Resident
Shayan (Sean/Sansón) Taheri, Ph.D. - Software Engineer - American Permanent Resident
HonestRank LLC
Verified email at knights.ucf.edu - Homepage
Title
Cited by
Cited by
Year
ECG arrhythmia classification using transfer learning from 2-dimensional deep CNN features
M Salem, S Taheri, JS Yuan
2018 IEEE biomedical circuits and systems conference (BioCAS), 1-4, 2018
1752018
Anomaly generation using generative adversarial networks in host based intrusion detection
M Salem, S Taheri, JS Yuan
IEEE Annual Ubiquitous Computing, Electronics, and Mobile Communications …, 2018
582018
Leveraging Image Representation of Network Traffic Data and Transfer Learning in Botnet Detection
S Taheri, M Salem, JS Yuan
Big Data and Cognitive Computing (2), 37, 2018
402018
Utilizing Transfer Learning and Homomorphic Encryption in a Privacy Preserving and Secure Biometric Recognition System
M Salem, S Taheri, J Shiun-Yuan
Computers 8 (3), 2018
392018
Ultra-low-power design and hardware security using emerging technologies for Internet of Things
JS Yuan, J Lin, Q Alasad, S Taheri
Electronics 6 (3), 67, 2017
352017
Why is deep learning challenging for printed circuit board (pcb) component recognition and how can we address it?
MA Mallaiyan Sathiaseelan, OP Paradis, S Taheri, N Asadizanjani
Cryptography 5 (1), 9, 2021
332021
An experimental evaluation of fault diagnosis from imbalanced and incomplete data for smart semiconductor manufacturing
M Salem, S Taheri, JS Yuan
Big Data and Cognitive Computing 2 (4), 30, 2018
262018
PCB Component Detection using Computer Vision for Hardware Assurance
W Zhao, S Gurudu, S Taheri, S Ghosh, MA Mallaiyan Sathiaseelan, ...
Big Data and Cognitive Computing 6 (https://www.mdpi.com/2504-2289/6/2/39), 39, 2022
182022
A cross-layer biometric recognition system for mobile IoT devices
S Taheri, JS Yuan
Electronics 7 (2), 26, 2018
182018
Security interrogation and defense for SAR analog to digital converter
S Taheri, J Lin, JS Yuan
Electronics 6 (2), 48, 2017
142017
Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks
S Taheri, A Khormali, M Salem, JS Yuan
Big Data Cogn. Comput. 2020, 4, 11, 2020
102020
Security Analysis of Tunnel Field-Effect Transistor for Low Power Hardware
S Taheri, JS Yuan
International Journal of Computer Science and Information Technologies …, 2017
82017
RazorNet: Adversarial training and noise training on a deep neural network fooled by a shallow neural network
S Taheri, M Salem, JS Yuan
Big Data and Cognitive Computing 3 (3), 43, 2019
72019
Logo Classification and Data Augmentation Techniques for PCB Assurance and Counterfeit Detection
M Azhagan Mallaiyan Sathiaseelan, O P. Paradis, R Rai, ...
Conference Proceedings from the 47th International Symposium for Testing and …, 2021
5*2021
Generative Adversarial Network for Integrated Circuits Physical Assurance Using Scanning Electron Microscopy
MM Al Hasan, N Vashistha, S Taheri, M Tehranipoor
IEEE International Symposium on the Physical and Failure Analysis of …, 2021
52021
EVHA: Explainable Vision System for Hardware Testing and Assurance--An Overview
M Mahfuz Al Hasan, M Tahsin Mostafiz, TA Le, J Julia, N Vashistha, ...
arXiv e-prints, arXiv: 2207.09627, 2022
4*2022
Mixed-Signal Hardware Security: Attacks and Countermeasures for ΔΣ ADC
S Taheri, JS Yuan
Electronics 6 (3), 60, 2017
42017
IC SynthLogo: A Synthetic Logo Image Dataset for Counterfeit and Recycled IC detection
MAM Sathiaseelan, MY Vutukuru, SV Pandurangi, S Taheri, ...
2021 IEEE International Symposium on the Physical and Failure Analysis of …, 2021
32021
PCB Component Detection for Hardware Assurance: A Feature Selection-based Approach
S Ghosh, M Tahsin Mostafiz, S Reddy Gurudu, S Taheri, N Asadizanjani
IEEE International Symposium on Hardware Oriented Security and Trust (HOST …, 2022
22022
An Overview of Medical Electronic Hardware Security and Emerging Solutions
S Taheri, N Asadizanjani
Electronics 11 (https://www.mdpi.com/2079-9292/11/4/610), 610, 2022
22022
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