We propose a method for watermarking texts of arbitrary length using natural-language semantic structures. For the key of our approach we use the linguistic semantic phenomenon of presuppositions. Presupposition is the implicit information considered as well-known or which readers of the text are supposed to treat as well-known; this information is a semantic component of certain linguistic expressions (lexical items and syntactical constructions called presupposition triggers). The same sentence can be used with or without presupposition, or with a different presupposition trigger, provided that all the relations between subjects, objects and other discourse referents are preserved - such transformations will not change the meaning of the ...
The current online digital world, consisting of thousands of newspapers, blogs, social media, and cl...
Language modeling is a vast sub-field of natural language processing and this work focuses on solvin...
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts gener...
We propose a method of text watermarking and hashing based on natural-language semantic structures. ...
We present a text watermarking scheme that embeds a bitstream watermark Wi in a text document P pres...
We present a text watermarking scheme that embeds a bitstream watermark Wi in a text document P pres...
Text content created by humans or language models is often stolen or misused by adversaries. Tracing...
In this paper we present four informed natural language watermark embedding methods, which operate o...
Recent advances in natural language generation have introduced powerful language models with high-qu...
In this paper we investigate the applica-tion of uncertainty detection to text wa-termarking, a prob...
Large language models (LLMs) have show great ability in various natural language tasks. However, the...
We propose a methodology for planting watermarks in text from an autoregressive language model that ...
Advances in communication technologies have made it easier to distribute and communicate information...
Contributing our own creativity (in the form of text, image, audio, and video) to the pool of online...
In the study of content authentication and tamper detection of digital text documents, a novel Engli...
The current online digital world, consisting of thousands of newspapers, blogs, social media, and cl...
Language modeling is a vast sub-field of natural language processing and this work focuses on solvin...
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts gener...
We propose a method of text watermarking and hashing based on natural-language semantic structures. ...
We present a text watermarking scheme that embeds a bitstream watermark Wi in a text document P pres...
We present a text watermarking scheme that embeds a bitstream watermark Wi in a text document P pres...
Text content created by humans or language models is often stolen or misused by adversaries. Tracing...
In this paper we present four informed natural language watermark embedding methods, which operate o...
Recent advances in natural language generation have introduced powerful language models with high-qu...
In this paper we investigate the applica-tion of uncertainty detection to text wa-termarking, a prob...
Large language models (LLMs) have show great ability in various natural language tasks. However, the...
We propose a methodology for planting watermarks in text from an autoregressive language model that ...
Advances in communication technologies have made it easier to distribute and communicate information...
Contributing our own creativity (in the form of text, image, audio, and video) to the pool of online...
In the study of content authentication and tamper detection of digital text documents, a novel Engli...
The current online digital world, consisting of thousands of newspapers, blogs, social media, and cl...
Language modeling is a vast sub-field of natural language processing and this work focuses on solvin...
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts gener...