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cs.CR2026
LLM Watermarking as Big Data Provenance: A Deployment-Oriented Systematization
Huy Phan, Kieu Dang, Ojaswi Dulal +4
As large language models (LLMs) become widely deployed, their outputs can be copied, transformed, and redistributed at scale without reliable evidence of origin, creating risks for…
cs.CR2022
User-Entity Differential Privacy in Learning Natural Language Models
Phung Lai, NhatHai Phan, Tong Sun +4
In this paper, we introduce a novel concept of user-entity differential privacy (UeDP) to provide formal privacy protection simultaneously to both sensitive entities in textual dat…