On the Origin of Synthetic Information by Means of Steganographic Inheritance
A new paper explores the concept of "steganographic inheritance" in the context of synthetic information. This research delves into the origins and implications of hiding information within synthetic data.
A new paper titled "On the Origin of Synthetic Information by Means of Steganographic Inheritance" has been published. The research, authored by Ching-Chun Chang and Isao Echizen, explores a novel concept within the realm of synthetic information. It introduces the idea of "steganographic inheritance," focusing on how information can be embedded and hidden within synthetic data.
The paper is currently available as a PDF and an experimental HTML version. It is accompanied by a DOI via DataCite, with registration pending. The academic community can access and cite this work through various bibliographic tools and platforms.
Additional resources related to the paper include links to code, data, and media, as well as demos on platforms like Replicate and Hugging Face Spaces. These supplementary materials offer further insights and practical applications of the research.
This publication is part of arXiv, an open-access platform that facilitates the sharing of scientific papers. arXivLabs, an experimental framework within arXiv, allows collaborators to develop and share new features, upholding values of openness, community, excellence, and user data privacy.
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