Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in ...

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...

Cybercriminals are constantly finding new ways to steal your data. As people become ... hackers are using USB drives to spread malware in ways that can easily bypass traditional security systems.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

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After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

Machine learning allows researchers to learn from data and account for the complexity, noise and variability of individuals. By using large bio-signal datasets, machine-learning algorithms are ...

The attackers receive this data on their Android device, which runs another app called Tapper, which emulates the victim's card using ... current detection, no apps containing this malware are ...