MI Tariq, NA Memon, S Ahmed… - Mobile Information …, 2020 - Wiley Online Library
In recent past years, Deep Learning presented an excellent performance in different areas like image recognition, pattern matching, and even in cybersecurity. The Deep Learning has …
T Ha, TK Dang, H Le, TA Truong - SN Computer Science, 2020 - Springer
Nowadays, deep learning is becoming increasingly important in our daily life. The appearance of deep learning in many applications in life relates to prediction and …
Abstract Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and …
Outsourced inference service has enormously promoted the popularity of deep learning, and helped users to customize a range of personalized applications. However, it also entails a …
To promote secure and private artificial intelligence (SPAI), we review studies on the model security and data privacy of DNNs. Model security allows system to behave as intended …
Deep Learning (DL) algorithms based on artificial neural networks have achieved remarkable success and are being extensively applied in a variety of application domains …
M Xue, C Yuan, H Wu, Y Zhang, W Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing …
The ever-growing advances of deep learning in many areas including vision, recommendation systems, natural language processing, etc., have led to the adoption of …
Abstract Machine Learning (ML) algorithms are used to train the machines to perform various complicated tasks that begin to modify and improve with experiences. It has become …