Philip Tully is a Principal Data Scientist at ZeroFOX. He employs natural language processing and computer vision techniques in order to develop predictive models for combating security threats emanating from social networks. He earned his joint doctorate degree in computer science from the Royal Institute of Technology (KTH) and the University of Edinburgh, and has spoken at Black Hat, DEF CON , ShowMeCon and across the neuroscience conference circuit. He's a hackademic that's interested in applying brain-inspired algorithms to both blue and red team operations. @phtully

Appearing at:

• A Picture is Worth a Thousand Words, Literally: Deep Neural Networks for Social Stego

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