Minimizing Distortion in Steganography via Adaptive Language Model Tuning

Author:

Chen ChengORCID,Yang JinshuaiORCID,Gao YueORCID,Wang HuiliORCID,Huang YongfengORCID

Publisher

Springer Nature Singapore

Reference43 articles.

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2. Cao, Y., Zhou, Z., Wu, Q.M.J., Yuan, C., Sun, X.: Coverless information hiding based on the generation of anime characters. EURASIP J. Image Video Process. 2020(1), 1–15 (2020). https://doi.org/10.1186/s13640-020-00524-4

3. Christian, Sokota, S., J, Foerster, J., Strohmeier, M.: Perfectly secure steganography using minimum entropy coupling. arXiv pre-print server (2023). https://doi.org/Nonearxiv:2210.14889, https://arxiv.org/abs/2210.14889

4. Dathathri, S., et al.: Plug and play language models: a simple approach to controlled text generation. arXiv preprint arXiv:1912.02164 (2019)

5. Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford 1(12), 2009 (2009)

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