A real-world example of this is attacks against the spam filters used by email providers ... and using file and data versioning. “A lot of security in AI and machine learning has to do with ...

These early iterations relied heavily on observed learning, where historical data – both malicious and benign – was fed to ...

From Gmail's earliest days, Google been using machine learning to improve ... allow those companies that send email in bulk to analyse data on delivery errors, spam reports, and reputation.

Google today said that its machine learning models can ... according to Google’s own data, 50-70 percent of messages that Gmail receives are spam. These detection models also integrate with ...

On a typical day, G-Mail blocks 100 million phishing emails ... data in real-time to identify malicious behavior. Using supervised machine learning algorithms that factor in device detection ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam ... corporate data of hundreds of companies ...

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data ... to evade detection, and using a ...