Zi-Hao Zhang

Privacy-Constrained Distributionally Robust Detection and Collaborative Attribution of LLM-Generated Text

FedRAT is proposed, a privacy-preserving federated framework that couples paired paraphrase consistency, generator-family auxiliary supervision, differentially private client updates, and loss-dependent aggregation within a unified detection setting.