Building robust machine learning systems: Current progress, research challenges, and opportunities
Machine learning, in particular deep learning, is being used in almost all the aspects of life
to facilitate humans, specifically in mobile and Internet of Things (IoT)-based applications …
to facilitate humans, specifically in mobile and Internet of Things (IoT)-based applications …
A roadmap toward the resilient internet of things for cyber-physical systems
The Internet of Things (IoT) is a ubiquitous system connecting many different devices-the
things-which can be accessed from the distance. The cyber-physical systems (CPSs) …
things-which can be accessed from the distance. The cyber-physical systems (CPSs) …
Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges
In the Machine Learning era, Deep Neural Networks (DNNs) have taken the spotlight, due to
their unmatchable performance in several applications, such as image processing, computer …
their unmatchable performance in several applications, such as image processing, computer …
Qusecnets: Quantization-based defense mechanism for securing deep neural network against adversarial attacks
Adversarial examples have emerged as a significant threat to machine learning algorithms,
especially to the convolutional neural networks (CNNs). In this paper, we propose two …
especially to the convolutional neural networks (CNNs). In this paper, we propose two …
Vaws: Vulnerability analysis of neural networks using weight sensitivity
M Hailesellasie, J Nelson, F Khalid… - 2019 IEEE 62nd …, 2019 - ieeexplore.ieee.org
The advancement in deep learning has taken the technology world by storm in the last
decade. Although, there is enormous progress made in terms of algorithm performance, the …
decade. Although, there is enormous progress made in terms of algorithm performance, the …
[PDF][PDF] A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems
E BARTOCCI - researchgate.net
ABSTRACT The Internet of Things (IoT) is a ubiquitous system connecting many different
devices–the things–which can be accessed from the distance. The cyber-physical systems …
devices–the things–which can be accessed from the distance. The cyber-physical systems …
[PDF][PDF] D4. 4: Ethical Analysis of AI and Robotics Technologies
P Brey, LL Oluoch, H van Gein, A Resseguier… - 2019 - en.philosophylab.philosophy.uoa.gr
This SIENNA deliverable offers a broad ethical analysis of artificial intelligence (AI) and
robotics technologies. Its primary aims have been to comprehensively identify and analyse …
robotics technologies. Its primary aims have been to comprehensively identify and analyse …
[PDF][PDF] D4. 4: Ethical Analysis of AI and Robotics Technologies
M de Araujo, R Herdy, F Shecaira - 2019 - academia.edu
This SIENNA deliverable offers a broad ethical analysis of artificial intelligence (AI) and
robotics technologies. Its primary aims have been to comprehensively identify and analyse …
robotics technologies. Its primary aims have been to comprehensively identify and analyse …