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arXiv · 1705.10742

Generating Steganographic Text with LSTMs

Tina Fang·Martin Jaggi·Katerina Argyraki
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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.

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Tina Fang, Martin Jaggi, Katerina Argyraki. 2017-05-30. Generating Steganographic Text with LSTMs. https://arxiv.org/abs/1705.10742

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