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

Zhengwei Jiang

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2

Frequent co-authors

Shang Shang1×
Ruiqi Wang1×
Ruijie Qi1×
Hao Li1×
Yingxiao Xiang1×
Yepeng Yao1×

Research Timeline

2026
From Context to Rules: Toward Unified Detection Rule Generation

The paper proposes UniRule, a novel agentic RAG framework that unifies the detection rule generation process by mapping context and language to rules, significantly outperforming pure LLM generation.

PhishSigma++: Malicious Email Detection with Typed Entity Relations

PhishSigma++ is a novel entity-relation-based detector that improves malicious email detection by focusing on invariant functional relationships between typed entities, significantly outperforming text-centric models under adversarial manipulation.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentMay 12, 2026

PhishSigma++: Malicious Email Detection with Typed Entity Relations

Shang Shang, Ruiqi Wang, Ruijie Qi, Hao Li +3 more

PhishSigma++ is a novel entity-relation-based detector that improves malicious email detection by focusing on invariant functional relationships between typed entities, significantly outperforming tex…

View →
cs.CRRecentApr 13, 2026

From Context to Rules: Toward Unified Detection Rule Generation

Cheng Meng, Wenxin Le, Xinyi Li, Qiuyun Wang +3 more

The paper proposes UniRule, a novel agentic RAG framework that unifies the detection rule generation process by mapping context and language to rules, significantly outperforming pure LLM generation.

View →