23 citations · 59 across the 18 of their papers we have counts for
3 papers · 1 filter
Signature vs. Substance: Evaluating the Balance of Adversarial Resistance and Linguistic Quality in Watermarking Large Language Models
William Guo, Adaku Uchendu, Ana Smith
To mitigate the potential harms of Large Language Models (LLMs)generated text, researchers have proposed watermarking, a process of embedding detectable signals within text. With w…
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification
Kenneth Alperin, Rohan Leekha, Adaku Uchendu +5
The increasing use of Artificial Intelligence (AI) technologies, such as Large Language Models (LLMs) has led to nontrivial improvements in various tasks, including accurate author…
Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation
Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas +4
Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While huma…