Do Attackers Use Algorithms to Evade ML? An In-the-Wild Phishing Case Study

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Phishing remains a threat to enterprise security. Deep learning now empowers powerful anti-phishing detectors, yet attackers still evade them with clever techniques. This session will reveal a study of in-the-wild evasive phish sites and trends from 5 years of ML phish evasion competitions plus 11 evasion tactics phishers use today, and measure the use of automated adversarial-attack creation by phishers.

Hyrum Anderson


CTO, Robust Intelligence

Dr. Kevin Roundy


Senior Technical Director, Norton Innovation Labs

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