2 papers
cs.LG2026
Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions
Qinglin Yang, Chen Qiu, Hongyuan Zhang +3
Large language models (LLMs) have become core components of cloud-based intelligent services in academia and industry, yet their training and deployment are hindered by high comput…
cs.CR2025
Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu, Binxing Fang, Rui Wang +4
Triggerable watermarking enables model owners to assert ownership against model extraction attacks. However, most existing approaches require additional training, which limits post…