The prosperity of machine learning has been accompanied by increasing attacks on the
training process. Among them, poisoning attacks have become an emerging threat during …

The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Deep neural networks and machine-learning algorithms are pervasively used in several
applications, ranging from computer vision to computer security. In most of these …

Abstract Machine learning systems trained on user-provided data are susceptible to data
poisoning attacks, whereby malicious users inject false training data with the aim of …

A number of online services nowadays rely upon machine learning to extract valuable
information from data collected in the wild. This exposes learning algorithms to the threat of …

Machine learning is one of the most prevailing techniques in computer science, and it has
been widely applied in image processing, natural language processing, pattern recognition …

Today's world is highly network interconnected owing to the pervasiveness of small personal
devices (eg, smartphones) as well as large computing devices or services (eg, cloud …

Abstract Machine learning algorithms are increasingly being applied in security-related
tasks such as spam and malware detection, although their security properties against …

Image forensic plays a crucial role in both criminal investigations (eg, dissemination of fake
images to spread racial hate or false narratives about specific ethnicity groups or political …

Pattern recognition and machine learning techniques have been increasingly adopted in
adversarial settings such as spam, intrusion, and malware detection, although their security …