Hardware trust and assurance through reverse engineering: A tutorial and outlook from image analysis and machine learning perspectives

UJ Botero, R Wilson, H Lu, MT Rahman… - ACM Journal on …, 2021 - dl.acm.org
In the context of hardware trust and assurance, reverse engineering has been often
considered as an illegal action. Generally speaking, reverse engineering aims to retrieve …

[PDF][PDF] Digital Image Denoising Techniques Based on Multi-Resolution Wavelet Domain with Spatial Filters: A Review.

AA Ismael, M Baykara - Traitement du Signal, 2021 - researchgate.net
Accepted: 25 April 2021 Recently, with the explosion in the number of digital images
captured every day in all life aspects, there is a growing demand for more detailed and …

[PDF][PDF] DeepFake Videos Detection Based on Texture Features.

B Xu, J Liu, J Liang, W Lu… - Computers, Materials & …, 2021 - cdn.techscience.cn
In recent years, with the rapid development of deep learning technologies, some neural
network models have been applied to generate fake media. DeepFakes, a deep learning …

Refics: A step towards linking vision with hardware assurance

R Wilson, H Lu, M Zhu, D Forte… - Proceedings of the …, 2022 - openaccess.thecvf.com
Hardware assurance is a key process in ensuring the integrity, security and functionality of a
hardware device. Its heavy reliance on images, especially on Scanning Electron Microscopy …

Refics: Assimilating data-driven paradigms into reverse engineering and hardware assurance on integrated circuits

R Wilson, H Lu, M Zhu, D Forte, DL Woodard - IEEE Access, 2021 - ieeexplore.ieee.org
Comprehensive hardware assurance approaches guaranteeing trust on Integrated Circuits
(ICs) typically require the verification of the IC design layout and functionality through …

A hybrid fuzzy based cross neighbor filtering (HF-CNF) for image enhancement of fine and coarse powder scanned electron microscopy (SEM) images

SM Jayaseelan, ST Gopal, S Muthu… - Journal of Intelligent …, 2022 - content.iospress.com
Image enhancement is one of the most critical stages towards any image processing
application. The outcome of image enhancement determines the accuracy and precise …

Detection of conjunctivitis with deep learning algorithm in medical image processing

SK Sundararajan - 2019 Third International Conference on I …, 2019 - ieeexplore.ieee.org
Artificial Intelligence [AI] using deep learning (DL) plays the significant trend in the image
processing. Also AI using natural language processing and speech recognition is a recent …

Visual Tracking with Motion Distortion Removal for Nanomanipulation inside SEM

X Fu, Y Yang, Z Sun, H Su, Y Li, T Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The article investigates the problem of visual tracking of moving objects in nanomanipulation
inside a scanning electron microscope (SEM). Image noise is a primary concern when …

Enhancing Real-Time Tactile Interaction Information: A Novel Approach Using Gaussian Process Regression and Differential Pulse Code Modulation

D Zhu, J Xie, T Huo, Y Li, S Guo - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
In recent years, tactile interaction has gained prominence in applications where real-time
feedback is crucial, such as robotic surgery and tactile internet applications. These …

[PDF][PDF] Hardware trust and assurance through reverse engineering

UJ Botero, R Wilson, H Lu, MT Rahman… - … Machinery: New York …, 2020 - researchgate.net
Hardware Trust and Assurance through Reverse Engineering: XXX: 3 unique patterns seen
in images of surface vertical interconnect access (via) as fingerprints of design to overcome …