Synthetic Data Generation for Edge-Case Object Detection
As AI becomes more accessible, bad actors have increasingly exploited it, driving the urgent need for rapid and accurate phishing detection in email and messaging platforms. Traditional methods like heuristics, analyst rules, and YARA often struggle with edge cases, resulting in high false positive (FP) or false negative (FN) rates. To address these shortcomings, deploying deep learning-based pipelines, particularly with YOLO (You Only Look Once) models, can greatly enhance detection accuracy and speed.
Oct 7, 2024
