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Zhenkai Liang

10 papers hereh-index 6111 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CR8
  • cs.SE2
same name
  • Zhenkai Liang — 11 papers, h 5
  • Zhenkai Liang — 4 papers, h 38
  • Zhenkai Liang — 3 papers, h 4
  • Zhenkai Liang — 3 papers, h 3
  • Zhenkai Liang — 3 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedKernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities

10 citations · 16 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CR2025

TraceAegis: Securing LLM-Based Agents via Hierarchical and Behavioral Anomaly Detection

Jiahao Liu, Bonan Ruan, Xianglin Yang +5

LLM-based agents have demonstrated promising adaptability in real-world applications. However, these agents remain vulnerable to a wide range of attacks, such as tool poisoning and…

cs.CR2025★ 1 cited

When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation

Weibo Zhao, Jiahao Liu, Bonan Ruan +2

Model Context Protocol (MCP) servers enable AI applications to connect to external systems in a plug-and-play manner, but their rapid proliferation also introduces severe security…

cs.SE2025★ 1 cited

Propagation-Based Vulnerability Impact Assessment for Software Supply Chains

Bonan Ruan, Zhiwei Lin, Jiahao Liu +3

Identifying the impact scope and scale is critical for software supply chain vulnerability assessment. However, existing studies face substantial limitations. First, prior studies…

cs.CR2025

PsyScam: A Benchmark for Psychological Techniques in Real-World Scams

Shang Ma, Tianyi Ma, Jiahao Liu +4

Over the years, online scams have grown dramatically, with nearly 50% of global consumers encountering scam attempts each week. These scams cause not only significant financial los…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.