Papers by Peizhuo Lv
PROMPRINT: Prompt Fingerprinting via First-Token Response for LLM App Cloning Detection (2026.acl-long)
Copied to clipboard
| Challenge: | Large Language Model apps are increasingly regarded as intellectual property . cloned apps pose risks of copyright infringement and malicious misuse . |
| Approach: | They propose a fingerprinting approach that optimizes queries that induce the LLM to generate a specific first token associated with the given system prompt. |
| Outcome: | The proposed fingerprinting approach is robust to partial system prompt modifications and effective under injection of adversarial instructions. |
ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks (2026.acl-long)
Copied to clipboard
Peizhuo Lv, Ruihua Zhou, Yunpeng Li, Ruigang Liang, Xingshuo Han, XiaoFeng Wang, Wei Dong, Yuling Liu
| Challenge: | Existing reasoning-enhanced large language models fail to provide reliable attribution of reasoning behavior once it is transferred through knowledge distillation. |
| Approach: | They propose to embed a reasoning-length gap in a model by querying a target domain and training a local student to imitate its outputs. |
| Outcome: | et al. show that ReasMark outperforms baselines while preserving task utility. |