most citedCan LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2026

PYPILINE: Malicious PyPI Package Detection via Suspicious API Knowledge and Agent Workflow

Siyuan Pang, Yepeng Yao, Zhengwei Jiang +3

Detecting malicious PyPI packages is crucial for maintaining the security of the open source software supply chain. Traditional static rule detection methods require continuous mai…

cs.CR2026

PhishSigma++: Malicious Email Detection with Typed Entity Relations

Shang Shang, Ruiqi Wang, Ruijie Qi +4

Here is a further shortened version (pure text, no extra formatting, academic style preserved, no content change): Abstract. With the rise of AI-generated content (AIGC), phishing…

cs.CR2024★ 1 cited

Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent

Shang Shang, Xinqiang Zhao, Zhongjiang Yao +5

To demonstrate and address the underlying maliciousness, we propose a theoretical hypothesis and analytical approach, and introduce a new black-box jailbreak attack methodology nam…