Edge-computing-driven internet of things: A survey

L Kong, J Tan, J Huang, G Chen, S Wang, X Jin… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

A survey of compiler testing

J Chen, J Patra, M Pradel, Y Xiong, H Zhang… - ACM Computing …, 2020 - dl.acm.org
Virtually any software running on a computer has been processed by a compiler or a
compiler-like tool. Because compilers are such a crucial piece of infrastructure for building …

Splitfed: When federated learning meets split learning

C Thapa, PCM Arachchige, S Camtepe… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Federated learning (FL) and split learning (SL) are two popular distributed machine learning
approaches. Both follow a model-to-data scenario; clients train and test machine learning …

Privacy-preserving deep learning on machine learning as a service—a comprehensive survey

HC Tanuwidjaja, R Choi, S Baek, K Kim - IEEE Access, 2020 - ieeexplore.ieee.org
The exponential growth of big data and deep learning has increased the data exchange
traffic in society. Machine Learning as a Service,(MLaaS) which leverages deep learning …

DWFCAT: Dual watermarking framework for industrial image authentication and tamper localization

A Kamili, NN Hurrah, SA Parah, GM Bhat… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The image data received through various sensors are of significant importance in Industry
4.0. Unfortunately, these data are highly vulnerable to various malicious attacks during its …

Secure cloud infrastructure: A survey on issues, current solutions, and open challenges

Y Alghofaili, A Albattah, N Alrajeh, MA Rassam… - Applied Sciences, 2021 - mdpi.com
Cloud computing is currently becoming a well-known buzzword in which business titans,
such as Microsoft, Amazon, and Google, among others, are at the forefront in developing …

A hybrid privacy-preserving deep learning approach for object classification in very high-resolution satellite images

W Boulila, MK Khlifi, A Ammar, A Koubaa, B Benjdira… - Remote Sensing, 2022 - mdpi.com
Deep learning (DL) has shown outstanding performances in many fields, including remote
sensing (RS). DL is turning into an essential tool for the RS research community. Recently …

Towards secure big data analytic for cloud-enabled applications with fully homomorphic encryption

A Alabdulatif, I Khalil, X Yi - Journal of Parallel and Distributed Computing, 2020 - Elsevier
Cloud computing empowers enterprises to efficiently manage big data and discovery of
useful information which are the most fundamental challenges for big data enabled …

Security considerations and guidelines for augmented reality implementation in corporate environments

OO Oyewole, OG Fakeyede, EC Okeleke… - Computer Science & IT …, 2023 - fepbl.com
This research paper explores the intricate tapestry of security considerations in integrating
augmented reality (AR) within corporate landscapes. The journey begins with an in-depth …

Survey on privacy-preserving techniques for microdata publication

T Carvalho, N Moniz, P Faria, L Antunes - ACM Computing Surveys, 2023 - dl.acm.org
The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …