Abstract Adversarial Machine Learning (AML) is a recently introduced technique, aiming to
deceive Machine Learning (ML) models by providing falsified inputs to render those models …

Metaverse is expected to emerge as a new paradigm for the next-generation Internet,
providing fully immersive and personalized experiences to socialize, work, and play in self …

Social media is one of the main sources for news consumption, especially among the
younger generation. With the increasing popularity of news consumption on various social …

The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of
human beings from scheduling daily activities to personalized shopping recommendations …

Emerging of social media creates inconsistencies in online news, which causes confusion
and uncertainty for consumers while making decisions regarding purchases. On the other …

Fake news, which considers and modifies facts for virality objectives, causes a lot of havoc
on social media. It spreads faster than real news and produces a slew of issues, including …

Fake news (ie, false news created to have a high capacity for dissemination and malicious
intentions) is a problem of great interest to society today since it has achieved …

Natural Language Processing (NLP) models based on Machine Learning (ML) are
susceptible to adversarial attacks--malicious algorithms that imperceptibly modify input text …

The amount of information shared on the internet, primarily via web-based networking
media, is regularly increasing. Because of the easy availability and exponential expansion …

The inclusion of Explainability of Artificial Intelligence (xAI) has become a mandatory
requirement for designing and implementing reliable, interpretable and ethical AI solutions …