Papers by Wenjian Luo
LLMs are Privacy Erasable (2025.findings-emnlp)
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| Challenge: | a new study examines the privacy of large language models and their capabilities . the study aims to address the balance between the convenience of LLMs and user privacy concerns . |
| Approach: | They propose a strategy that safeguards user prompt while accessing LLM cloud services . they evaluate the efficacy of their method across prominent LLM benchmarks . |
| Outcome: | The proposed method thwarts reconstruction attacks and improves model performance . it also surpasses the results reported in official model cards . |