Fetching the paper…
Reading the bibliography…
State of the art generative models of human-produced content are the focus of many recent papers that explore their use for steganographic communication.
Arithmetic stream coding using fixed precision registers
Frank Rubin · 1979
Earlier work this paper cites.
Practical implementations of arithmetic coding
Paul G Howard and Jeffrey Scott Vitter · 1992
Earlier work this paper cites.
A new algorithm for data compression
Philip Gage · 1994
Earlier work this paper cites.
An information-theoretic model for steganography
Christian Cachin · 1998
Earlier work this paper cites.
Modeling the security of steganographic systems
Jan Zöllner, Hannes Federrath, Herbert Klimant, Andreas Pfitzmann, Rudi Piotraschke, Andreas Westfeld, Guntram Wicke, and Gritta Wolf · 1998
Earlier work this paper cites.
An information-theoretic approach to steganography and watermarking
Thomas Mittelholzer · 1999
Earlier work this paper cites.
The base-rate fallacy and the difficulty of intrusion detection
Stefan Axelsson · 2000
Earlier work this paper cites.
Provably secure steganography
Nicholas J. Hopper, John Langford, and Luis von Ahn · 2002
Earlier work this paper cites.
Defining security in steganographic systems
Stefan Katzenbeisser and Fabien AP Petitcolas · 2002
Earlier work this paper cites.
An information-theoretic model for steganography
Christian Cachin · 2004
Earlier work this paper cites.
Model-based steganography
Phil Sallee · 2004
Earlier work this paper cites.
Bandwidth optimal steganography secure against adaptive chosen stegotext attacks
Tri Van Le and Kaoru Kurosawa · 2007
Earlier work this paper cites.
Linguistic steganography detection using statistical characteristics of correlations between words
Zhili Chen, Liusheng Huang, Zhenshan Yu, Wei Yang, Lingjun Li, Xueling Zheng, and Xinxin Zhao · 2008
Earlier work this paper cites.
Provably secure steganography
Nicholas Hopper, Luis von Ahn, and John Langford · 2008
Earlier work this paper cites.
Linguistic steganography detection algorithm using statistical language model
Peng Meng, Liusheng Hang, Wei Yang, Zhili Chen, and Hu Zheng · 2009
Cited alongside, same era.
Chipping away at censorship firewalls with user-generated content
Sam Burnett, Nick Feamster, and Santosh S Vempala · 2010
Cited alongside, same era.
A statistical test suite for random and pseudorandom number generators for cryptographic applications
Elaine Barker Smid, Stefan Leigh, Mark Levenson, Mark Vangel, AlanHeckert DavidBanks, and SanVo JamesDray · 2010
Cited alongside, same era.
Grey-box steganography
Maciej Liśkiewicz, Rüdiger Reischuk, and Ulrich Wölfel · 2011
Cited alongside, same era.
Moving steganography and steganalysis from the laboratory into the real world
Andrew D. Ker, Patrick Bas, Rainer Böhme, Rémi Cogranne, Scott Craver, Tomáš Filler, Jessica Fridrich, and Tomáš Pevný · 2013
Cited alongside, same era.
Behavioral security in covert communication systems
Zhongliang Yang, Yuting Hu, Yongfeng Huang, and Yujin Zhang · 2020
Later among the works it cites.
Ts-csw: text steganalysis and hidden capacity estimation based on convolutional sliding windows
Zhongliang Yang, Yongfeng Huang, and Yu-Jin Zhang · 2020
Later among the works it cites.
All that’s ‘human’is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A Smith · 2021
Closest in time.
Steganography in social networks based on behavioral correlation
Yinghong Hu, Zichi Wang, and Xinpeng Zhang · 2021
Closest in time.
Meteor: Cryptographically secure steganography for realistic distributions
Gabriel Kaptchuk, Tushar M Jois, Matthew Green, and Aviel D Rubin · 2021
Closest in time.
Real-time text steganalysis based on multi-stage transfer learning
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Rico Sennrich, Barry Haddow, and Alexandra Birch · 2015
Cited alongside, same era.
Lost in the digital wild: Hiding information in digital activities
Shujun Li, Anthony TS Ho, Zichi Wang, and Xinpeng Zhang · 2018
Cited alongside, same era.
Rnn-stega: Linguistic steganography based on recurrent neural networks
Zhong-Liang Yang, Xiao-Qing Guo, Zi-Ming Chen, Yong-Feng Huang, and Yu-Jin Zhang · 2018
Cited alongside, same era.
Towards near-imperceptible steganographic text
Falcon Dai and Zheng Cai · 2019
Cited alongside, same era.
A fast and efficient text steganalysis method
Zhongliang Yang, Yongfeng Huang, and Yu-Jin Zhang · 2019
Cited alongside, same era.
Ts-rnn: text steganalysis based on recurrent neural networks
Zhongliang Yang, Ke Wang, Jian Li, Yongfeng Huang, and Yu-Jin Zhang · 2019
Cited alongside, same era.
Neural linguistic steganography
Zachary Ziegler, Yuntian Deng, and Alexander M Rush · 2019
Cited alongside, same era.
Wanli Peng, Jinyu Zhang, Yiming Xue, and Zhenghong Yang · 2021
Closest in time.
Provably secure generative linguistic steganography
Siyu Zhang, Zhongliang Yang, Jinshuai Yang, and Yongfeng Huang · 2021
Closest in time.
Generative steganography based on long readable text generation
Yi Cao, Zhili Zhou, Chinmay Chakraborty, Meimin Wang, QM Jonathan Wu, Xingming Sun, and Keping Yu · 2022
Closest in time.
Perfectly secure steganography using minimum entropy coupling
Christian Schroeder de Witt, Samuel Sokota, J Zico Kolter, Jakob Foerster, and Martin Strohmeier · 2022
Closest in time.
Sources of irreproducibility in machine learning: A review
Odd Erik Gundersen, Kevin Coakley, Christine Kirkpatrick, and Yolanda Gil · 2022
Closest in time.
Security foundations for application-based covert communication channels
James K Howes, Marios Georgiou, Alex J Malozemoff, and Thomas Shrimpton · 2022
Closest in time.
Semantic-preserving linguistic steganography by pivot translation and semantic-aware bins coding
Tianyu Yang, Hanzhou Wu, Biao Yi, Guorui Feng, and Xinpeng Zhang · 2022
Closest in time.
Mts-stega: Linguistic steganography based on multi-time-step
Long Yu, Yuliang Lu, Xuehu Yan, and Yongqiang Yu · 2022
Closest in time.
Discop: Provably secure steganography in practice based on “distribution copies”
Jinyang Ding, Kejiang Chen, Yaofei Wang, Na Zhao, Weiming Zhang, and Nenghai Yu · 2023
Closest in time.