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[R] STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS

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We recently released our demo for our EMNLP paper “Neural Linguistic Steganography”, hiding secret messages in natural language via arithmetic coding and GPT-2. Arithmetic coding is a powerful entropy coding technique that is optimal for random sequences. Using arithmetic coding in reverse enables extremely efficient steganography, and when combined with modern language models like GPT-2 it allows for convincing cover text generations that encode information.

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.