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Generating Steganographic Text with LSTMs

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 نشر من قبل Martin Jaggi
 تاريخ النشر 2017
  مجال البحث الهندسة المعلوماتية
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Motivated by concerns for user privacy, we design a steganographic system (stegosystem) that enables two users to exchange encrypted messages without an adversary detecting that such an exchange is taking place. We propose a new linguistic stegosystem based on a Long Short-Term Memory (LSTM) neural network. We demonstrate our approach on the Twitter and Enron email datasets and show that it yields high-quality steganographic text while significantly improving capacity (encrypted bits per word) relative to the state-of-the-art.



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