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An Automated Penetration Testing Framework Using LLMs ...
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由 L Wu 著作2024 — In this paper, we introduce an automated penetration testing framework with multi-agent characteristics, named PTGroup, which utilizes the prior knowledge and ...
An Automated Penetration Testing Framework Using LLMs ...
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由 L Wu 著作2024 — Finally, we propose the directions for improvement of the PTGroup, encompassing the use of more specialized LLMs and the adoption of automated ...
An Automated Penetration Testing Framework Using LLMs ...
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2024年8月1日 — This contribution introduces a centralized input constrained optimal control framework based on multiple control barrier functions (CBFs) to ...
An Automated Penetration Testing Framework Using LLMs ...
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Article "PTGroup: An Automated Penetration Testing Framework Using LLMs and Multiple Prompt Chains" Detailed information of the J-GLOBAL is an information ...
arXiv:2308.06782v2 [cs.SE] 2 Jun 2024
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由 G Deng 著作2023被引用 73 次 — PENTESTGPT (this paper): An automated penetration testing system that leverages the power of LLMs to pro- duce testing guidance and intuition at ...
Incorporating LLM Agents to Automated Penetration Testing
arXiv
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2024年11月7日 — We propose PentestAgent, a novel LLM-based automated penetration testing framework that leverages the power of LLMs and various LLM-based techniques.
Jingju Liu's research works | National University of Defense ...
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Jingju Liu's 24 research works with 207 citations, including: PTGroup: An Automated Penetration Testing Framework Using LLMs and Multiple Prompt Chains.
PentestGPT: Evaluating and Harnessing Large Language ...
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由 G Deng 著作2024被引用 14 次 — Based on these insights, we introduce PENTESTGPT, an LLM-empowered automated penetration testing framework that leverages the abundant domain knowledge inherent ...
缺少字詞： PTGroup: Multiple Prompt Chains.
Generative AI for pentesting: the good, the bad, the ugly
Springer
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由 E Hilario 著作2024被引用 26 次 — This paper examines the role of Generative AI (GenAI) and Large Language Models (LLMs) in penetration testing exploring the benefits, challenges, and risks
Large Language Models for Software Engineering
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PTGroup: An Automated Penetration Testing Framework Using LLMs and Multiple Prompt Chains [2024-ICIC]. Program Analysis. CFStra: Enhancing Configurable ...