دانلود Generating Steganographic Text with LSTMs

Abstract

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.