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Home/Authors/Hang Fu

Hang Fu

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

NLP×2AI×2Crypto×2Social Networks×1

Frequent co-authors

Zihang Fu1×
Fanxiao Li1×
Jianyang Gu1×
Haonan Wang1×
Preslav Nakov1×
Bryan Hooi1×

Research Timeline

2026
Evaluating Privilege Usage of Agents with Real-World Tools

The paper introduces GrantBox, a new security sandbox that evaluates how well LLM agents handle real-world tool privileges, finding that agents remain highly vulnerable to sophisticated attacks.

Spore: Efficient and Training-Free Privacy Extraction Attack on LLMs via Inference-Time Hybrid Probing

The paper introduces extsc{Spore}, a novel, training-free, and highly efficient privacy extraction attack that targets sensitive information stored in the memory of LLM agents during inference, outperforming existing state-of-the-art methods.

StoryLens: Preference-Aligned Story Rewriting via Context-Aware Narrative Enrichment

The paper introduces STORYLENSWRITER, a novel framework that significantly improves personalized story rewriting by incorporating context-aware narrative enrichment, outperforming style-only adaptation.

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes

The paper introduces EvoNote, a self-evolving agentic framework that significantly improves the generation of evidence-grounded health community notes by utilizing an accumulated memory of past misinformation correction experiences.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.SIRecentJun 1, 2026

Better with Experience: Self-Evolving LLM Agents for Evidence-Grounded Health Community Notes

Zihang Fu, Fanxiao Li, Jianyang Gu, Haonan Wang +4 more

The paper introduces EvoNote, a self-evolving agentic framework that significantly improves the generation of evidence-grounded health community notes by utilizing an accumulated memory of past misinf…

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cs.CLcs.AIRecentMay 27, 2026

StoryLens: Preference-Aligned Story Rewriting via Context-Aware Narrative Enrichment

Hanwen Cui, Yuting Mei, Yuhang Fu, Dingyi Yang +1 more

The paper introduces STORYLENSWRITER, a novel framework that significantly improves personalized story rewriting by incorporating context-aware narrative enrichment, outperforming style-only adaptatio…

View →
cs.CRRecentApr 26, 2026

Spore: Efficient and Training-Free Privacy Extraction Attack on LLMs via Inference-Time Hybrid Probing

Yu Cui, Ruiqing Yue, Hang Fu, Sicheng Pan +5 more

The paper introduces extsc{Spore}, a novel, training-free, and highly efficient privacy extraction attack that targets sensitive information stored in the memory of LLM agents during inference, outpe…

View →
cs.CRcs.AIRecentMar 30, 2026

Evaluating Privilege Usage of Agents with Real-World Tools

Quan Zhang, Lianhang Fu, Lvsi Lian, Gwihwan Go +4 more

The paper introduces GrantBox, a new security sandbox that evaluates how well LLM agents handle real-world tool privileges, finding that agents remain highly vulnerable to sophisticated attacks.

View →