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Improving Text Classification Resilience and Efficiency with RETVec

Improving Text Classification Resilience and Efficiency with RETVec

Elie Bursztein, Cybersecurity & AI Research Director, and Marina Zhang, Software Engineer Systems such as Gmail, YouTube and Google Play rely on text classification models to identify harmful content including phishing attacks, inappropriate comments, and scams. These types of texts are harder for machine learning models to classify because bad actors rely on adversarial text … Read more