Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

Today, the rapid growth of the internet and advancements in mobile technology and
increased internet connectivity have brought us to a data-driven economy where an …

Recent deep face recognition models proposed in the literature utilized large-scale public
datasets such as MS-Celeb-1M and VGGFace2 for training very deep neural networks …

The arrival of the fifth-generation technology standard for broadband cellular networks (5G)
and beyond 5G networks (B5G) rises the speed and robustness ceiling of communicating …

The main question this work aims at answering is:" can morphing attack detection (MAD)
solutions be successfully developed based on synthetic data?". Towards that, this work …

In recent years, issues of privacy preservation in data mining and machine learning have
received more and more attention from the research community. Privacy-preserving data …

With the implementation of privacy protection laws such as GDPR, it is increasingly difficult
for organizations to legally collect users' data. However, a typical machine learning-based …

The last few years witnessed significant advances in building automated or semi-automated
data quality, data cleaning and data integration systems powered by machine learning (ML) …

The usage of the data mining (DM) technique has rapidly increased in the recent era. Most
organizations utilize DM for forecasting their goals and for predicting various possibilities of …

Nowadays, the development of machine learning has brought about tremendous benefits.
Nevertheless, the process of building machine learning models can violate sensitive and …