Papers by Fenghua Li
Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference (2026.findings-acl)
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| Challenge: | Distributed LLMs avoid raw inputs by transmitting intermediate hidden states, a practice widely assumed to preserve privacy. |
| Approach: | They propose a distributed inference framework that transmits intermediate hidden states to avoid sending raw inputs by exposing sensitive user attributes. |
| Outcome: | The proposed approach achieves Top-1 accuracy of 0.997 on CMS, 0.980 on Skytrax, and 0.986 on ECHR. |
Event-Content-Oriented Dialogue Generation in Short Video (2024.naacl-long)
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| Challenge: | Existing multi-modal dialogue models are limited to incapacity of reading visual information and multi-dimensional interactions. |
| Approach: | They propose a novel event-oriented video-dialogue dataset called SportsVD to overcome these challenges by generating human-like response according to event contents in the video and related external knowledge. |
| Outcome: | The proposed method outperforms existing methods on SportsVD and other baselines under several automatic metrics. |