Online learning represents a family of machine learning methods, where a learner attempts
to tackle some predictive (or any type of decision-making) task by learning from a sequence …

The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Online reviews are becoming increasingly important for decision-making. Consumers often
refer to online reviews for opinions before making a purchase. Marketers also acknowledge …

The majority of Internet of Things (IoT) devices are tiny embedded systems with a micro-
controller unit (MCU) as its brain. The memory footprint (SRAM, Flash, and EEPROM) of …

This paper explores a new online learning problem where the input sequence lives in an
over-time varying feature space and the ground-truth label of any input point is given only …

In real-world applications, robotic systems collect vast amounts of new data from ever-
changing environments over time. They need to continually interact and learn new …

Nowadays, social media is one widely used platform to access information. Fake news on
social media and various other media is widely spreading. It is a matter of serious concern …

People can get infected with fake news very quickly with misleading words and images and
post them without any fact-checking. The social media life has been used to distribute …

Online active learning is a paradigm in machine learning that aims to select the most
informative data points to label from a data stream. The problem of minimizing the cost …