Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
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 …
Identifying and mitigating the security risks of generative ai
Every major technical invention resurfaces the dual-use dilemma—the new technology has
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …
Scalable watermarking for identifying large language model outputs
Large language models (LLMs) have enabled the generation of high-quality synthetic text,
often indistinguishable from human-written content, at a scale that can markedly affect the …
often indistinguishable from human-written content, at a scale that can markedly affect the …
Robust distortion-free watermarks for language models
We propose a methodology for planting watermarks in text from an autoregressive language
model that are robust to perturbations without changing the distribution over text up to a …
model that are robust to perturbations without changing the distribution over text up to a …
{REMARK-LLM}: A robust and efficient watermarking framework for generative large language models
We present REMARK-LLM, a novel efficient, and robust watermarking framework designed
for texts generated by large language models (LLMs). Synthesizing human-like content …
for texts generated by large language models (LLMs). Synthesizing human-like content …
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 …
Decoding academic integrity policies: A corpus linguistics investigation of AI and other technological threats
This study presents a corpus analysis of academic integrity policies from Higher Education
Institutions (HEIs) worldwide, exploring how they address the issues posed by technological …
Institutions (HEIs) worldwide, exploring how they address the issues posed by technological …
Provable robust watermarking for ai-generated text
As AI-generated text increasingly resembles human-written content, the ability to detect
machine-generated text becomes crucial. To address this challenge, we present …
machine-generated text becomes crucial. To address this challenge, we present …
Copyright protection in generative ai: A technical perspective
Generative AI has witnessed rapid advancement in recent years, expanding their
capabilities to create synthesized content such as text, images, audio, and code. The high …
capabilities to create synthesized content such as text, images, audio, and code. The high …