most citedModel Hemorrhage and the Robustness Limits of Large Language Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CRShow all

1 paper · 1 filter

cs.CR2025

Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures

Suqing Wang, Ziyang Ma, Li Xinyi +1

Large Language Models (LLMs) are widely adopted, but their high training cost leads many developers to fine-tune existing open-source models. While most adhere to open-source licen…