Generative Models for Spear Phishing Posts on Social Media

Understand

Historically, machine learning in computer security has prioritized defense: think intrusion detection systems, malware classification, and botnet traffic identification.

• Offense can benefit from data just as well.
• Social networks, with their access to extensive personal data, bot-friendly APIs, colloquial syntax, and prevalence of shortened links, are the perfect venues for spreading machine-generated malicious content.
• We aim to discover what capabilities an adversary might utilize in such a domain.