Name
Title | ||
|---|---|---|
A novel natural language steganographic framework based on image description neural network |
Abstract | ||
|---|---|---|
•A carrier-less text steganography based on CNN-LSTM network is proposed.•SSH scheme based on beam search can be applied in model sharing situation.•HH scheme for model-free extraction with hash function is proposed.•The tradeoff between text quality and embedded capacity can be balanced.•The proposed schemes achieve high text quality, invisibility, and security. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jvcir.2019.03.016 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Natural language steganography,Image description,Neural network,Embedding capacity,BLEU,Perplexity | Data mining,Steganography,Embedding,Pattern recognition,Convolutional neural network,Natural language,Artificial intelligence,Data extraction,Hash function,Artificial neural network,Sentence,Mathematics | Journal |
Volume | ISSN | Citations |
61 | 1047-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Wen | 1 | 11 | 3.17 |
| Xuejing Zhou | 2 | 4 | 0.73 |
| Mengdi Li | 3 | 3 | 1.05 |
| Ping Zhong | 4 | 10 | 3.16 |
| Yiming Xue | 5 | 17 | 6.28 |