Research
Researchers Demonstrate Practical Attack Against ML-Based Intrusion Detection Systems
IEEE Security & PrivacyMarch 14, 20262 min read
Academic researchers published a paper demonstrating adversarial machine learning attacks capable of evading state-of-the-art neural network-based IDS/IPS solutions with a 94% evasion success rate.
IEEE Security & Privacy reports the details above as part of its ongoing coverage in the research space. The picture is likely to sharpen over the coming days as other researchers weigh in.
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