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A survey of text watermarking in the era of large language models
Text watermarking algorithms are crucial for protecting the copyright of textual content.
Historically, their capabilities and application scenarios were limited. However, recent …
Historically, their capabilities and application scenarios were limited. However, recent …
Authorship attribution in the era of llms: Problems, methodologies, and challenges
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …
Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense
The rise in malicious usage of large language models, such as fake content creation and
academic plagiarism, has motivated the development of approaches that identify AI …
academic plagiarism, has motivated the development of approaches that identify AI …
The science of detecting LLM-generated text
ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …
Unbiased watermark for large language models
The recent advancements in large language models (LLMs) have sparked a growing
apprehension regarding the potential misuse. One approach to mitigating this risk is to …
apprehension regarding the potential misuse. One approach to mitigating this risk is to …
On the possibilities of ai-generated text detection
Our work addresses the critical issue of distinguishing text generated by Large Language
Models (LLMs) from human-produced text, a task essential for numerous applications …
Models (LLMs) from human-produced text, a task essential for numerous applications …
Who wrote this code? watermarking for code generation
Since the remarkable generation performance of large language models raised ethical and
legal concerns, approaches to detect machine-generated text by embedding watermarks are …
legal concerns, approaches to detect machine-generated text by embedding watermarks are …
A survey on the detection and impacts of deepfakes in visual, audio, and textual formats
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …
content poses a significant threat to the trust of society, political stability, and integrity of …
A survey on detection of llms-generated content
The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT
have led to an increase in synthetic content generation with implications across a variety of …
have led to an increase in synthetic content generation with implications across a variety of …
Adversarial watermarking transformer: Towards tracing text provenance with data hiding
Recent advances in natural language generation have introduced powerful language
models with high-quality output text. However, this raises concerns about the potential …
models with high-quality output text. However, this raises concerns about the potential …