{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T20:01:06Z","timestamp":1776888066940,"version":"3.51.2"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3302104"],"award-info":[{"award-number":["2022YFC3302104"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61862002"],"award-info":[{"award-number":["61862002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172053"],"award-info":[{"award-number":["62172053"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tifs.2023.3298210","type":"journal-article","created":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:41:11Z","timestamp":1690220471000},"page":"4870-4882","source":"Crossref","is-referenced-by-count":18,"title":["Linguistic Steganalysis in Few-Shot Scenario"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3884-882X","authenticated-orcid":false,"given":"Huili","family":"Wang","sequence":"first","affiliation":[{"name":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8027-9560","authenticated-orcid":false,"given":"Zhongliang","family":"Yang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6293-1981","authenticated-orcid":false,"given":"Jinshuai","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing, China"}]},{"given":"Cheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3825-2230","authenticated-orcid":false,"given":"Yongfeng","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/49.668971"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-78813-5_40"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2108649"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139192903"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2871746"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00012-7_24"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3023279"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/sec.1757"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27051-7_12"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/COLI_a_00176"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.7763\/IJIET.2011.V1.68"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC.2013.6663950"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1115"},{"key":"ref14","first-page":"15","article-title":"Steganography in support of the global terrorism","volume-title":"Terrorist Use of Cyberspace and Cyber Terrorism","author":"Bogdanoski","year":"2015"},{"key":"ref15","volume-title":"Terrorist Instructions Hidden Online","year":"2001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IIH-MSP.2006.265019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-012-1313-8"},{"key":"ref18","article-title":"TS-CNN: Text steganalysis from semantic space based on convolutional neural network","author":"Yang","year":"2018","journal-title":"arXiv:1810.08136"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2895286"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-08716-w"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2920452"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3122901"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3062233"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69449-4_7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3082031.3083240"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-3017"},{"key":"ref27","article-title":"An approach for text steganography based on Markov chains","author":"Moraldo","year":"2014","journal-title":"arXiv:1409.0915"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3531536.3532963"},{"issue":"10","key":"ref29","first-page":"3874","article-title":"Universal steganalysis based on few-shot learning","volume":"33","author":"Daqiu","year":"2021","journal-title":"J. Softw."},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3531536.3532949"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ITCS.2009.246"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"ref33","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.102"},{"key":"ref35","article-title":"Semi-supervised learning literature survey","author":"Zhu","year":"2005"},{"key":"ref36","article-title":"Self-training: A survey","author":"Amini","year":"2022","journal-title":"arXiv:2202.12040"},{"key":"ref37","first-page":"1","article-title":"Learning to self-train for semi-supervised few-shot classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Li"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.142"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.836"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref42","first-page":"1","article-title":"On modern deep learning and variational inference","volume-title":"Proc. Adv. Approx. Bayesian Inference Workshop (NIPS)","volume":"2","author":"Gal"},{"key":"ref43","article-title":"Bayesian convolutional neural networks with Bernoulli approximate variational inference","author":"Gal","year":"2015","journal-title":"arXiv:1506.02158"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5120\/10440-5125"},{"key":"ref45","volume-title":"Improving language understanding by generative pre-training","author":"Radford","year":"2018"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"issue":"8","key":"ref47","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-020-1647-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref50","first-page":"21199","article-title":"Uncertainty-aware self-training for few-shot text classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Mukherjee"},{"key":"ref51","first-page":"142","article-title":"Learning word vectors for sentiment analysis","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics, Hum. Lang. Technol.","author":"Maas"},{"key":"ref52","first-page":"2009","article-title":"Twitter sentiment classification using distant supervision","volume":"1","author":"Go","year":"2009"},{"key":"ref53","volume-title":"All the News","author":"Thompson","year":"2017"},{"key":"ref54","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9970396\/10190738.pdf?arnumber=10190738","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T15:21:36Z","timestamp":1709306496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10190738\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tifs.2023.3298210","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}