Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Neil Gong

Neil Gong

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3Software Eng.×1ML×1AI×1

Frequent co-authors

Taein Kim1×
David Jiang1×
Yuepeng Hu1×
Yuqi Jia1×
Weifei Jin1×
Xilong Wang1×

Research Timeline

2026
A Framework for Formalizing LLM Agent Security

The paper introduces a contextual security framework for LLM agents, defining security properties and reformulating various attacks and defenses based on the context of execution.

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases

CleanBase is a method that detects malicious documents in RAG knowledge databases by identifying clusters (cliques) of documents that exhibit unusually high semantic similarity.

Evaluating Tool Cloning in Agentic-AI Ecosystems

The paper presents a large-scale study demonstrating that tool cloning is a pervasive and severe source of hidden duplication in agent-tool ecosystems, necessitating changes in how tool diversity is measured.

Highlighted terms show continued research focus across papers

Papers

cs.SEcs.CRRecentMay 10, 2026

Evaluating Tool Cloning in Agentic-AI Ecosystems

Taein Kim, David Jiang, Yuepeng Hu, Yuqi Jia +1 more

The paper presents a large-scale study demonstrating that tool cloning is a pervasive and severe source of hidden duplication in agent-tool ecosystems, necessitating changes in how tool diversity is m…

View →
cs.CRcs.LGRecentMay 1, 2026

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases

Weifei Jin, Xilong Wang, Wei Zou, Jinyuan Jia +1 more

CleanBase is a method that detects malicious documents in RAG knowledge databases by identifying clusters (cliques) of documents that exhibit unusually high semantic similarity.

View →
cs.CRcs.AIRecentMar 19, 2026

A Framework for Formalizing LLM Agent Security

Vincent Siu, Jingxuan He, Kyle Montgomery, Zhun Wang +3 more

The paper introduces a contextual security framework for LLM agents, defining security properties and reformulating various attacks and defenses based on the context of execution.

View →