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Text Classification

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Gmail's AI-driven spam detection gets major security boost

Originally Published 2 years ago — by Ars Technica

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Source: Ars Technica

Gmail has introduced a new upgrade to its spam filters called RETVec, which is being hailed as one of the largest defense upgrades in recent years. RETVec is a text classification system that can understand "adversarial text manipulations," such as emails filled with special characters, emojis, and typos that were previously difficult for machines to comprehend. This upgrade has significantly improved Gmail's spam detection rate and reduced false positives, making it a major security enhancement for users.

"Gmail's Robust Spam Detection Gets Major Upgrades"

Originally Published 2 years ago — by 9to5Google

Featured image for "Gmail's Robust Spam Detection Gets Major Upgrades"
Source: 9to5Google

Gmail has implemented its "largest defense upgrades in recent years" to enhance spam detection by 38%. The improvements are attributed to the use of RETVec (Resilient & Efficient Text Vectorizer), an open-source approach developed by Google Research. RETVec allows models to achieve state-of-the-art classification performance while reducing computational costs, making it suitable for various use cases. Gmail's implementation of RETVec has not only improved spam detection but also reduced false positive rates and Tensor Processing Unit usage. Google has extensively tested RETVec and found it highly effective for security and anti-abuse applications.