MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography

Xianbo Mo, Shunquan Tan, Bin Li 0011, Jiwu Huang. MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography. IEEE Transactions on Information Forensics and Security, 16:4306-4320, 2021. [doi]

@article{MoTLH21,
  title = {MCTSteg: A Monte Carlo Tree Search-Based Reinforcement Learning Framework for Universal Non-Additive Steganography},
  author = {Xianbo Mo and Shunquan Tan and Bin Li 0011 and Jiwu Huang},
  year = {2021},
  doi = {10.1109/TIFS.2021.3104140},
  url = {https://doi.org/10.1109/TIFS.2021.3104140},
  researchr = {https://researchr.org/publication/MoTLH21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {16},
  pages = {4306-4320},
}