Predicting Cyber-Attacks Using Neural Language Models of Sociopolitical Events

Pechi, Daniel B.


  • Cyber-attacks pose an existential threat to individuals, businesses, and democracies across the world. As such, it is necessary to develop systems capable of predicting and preventing the sorts of phishing and malware attacks used to influence elections and breach private email servers like those employed prior to the 2016 presidential election. Detecting these campaigns is made intentionally ... read more
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