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Towards Imperceptible Natural Language Watermarking for German

 
: Halvani, Oren; Steinebach, Martin; Graner, Lukas

:

Association for Computing Machinery -ACM-:
IH & MMSec '17. Proceedings of the 5th ACM Workshop on Informa Hiding and Multimedia Security : Philadelphia, PA,USA, June 20 - 22, 2017
New York: ACM, 2017
ISBN: 978-1-4503-5061-7
S.93-98
Workshop on Information Hiding and Multimedia Security (IH&MMSEC) <5, 2017, Philadelphia/Pa.>
Englisch
Konferenzbeitrag
Fraunhofer SIT ()
automated paraphrasing; imperceptibility; linguistic transformations; natural language watermarking

Abstract
Watermarking natural language is still a challenge in the domain of digital watermarking. Here, only the textual information must be used as a cover. No format changes or modied illustrations are accepted. Still, natural language watermarking (NLW) has some important applications, especially in leakage tracking, where a small set of individually marked copies of a condently text is distributed. Properties of watermarking schemes such as imperceptibility, blindness or adaptability to non-English languages are of importance here. In order to address these three simultaneously, we present a blind NLW scheme, consisting of four independent embedding methods, which operate on the phonetical, morphological, lexical and syntactical layer of German texts. An evaluation based on 1,645 assessments provided by 131 test persons reveals promising results.

: http://publica.fraunhofer.de/dokumente/N-453470.html