10 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.SE2025
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
Hongzhou Rao, Yanjie Zhao, Wenjie Zhu +3
Concerns about benchmark leakage in large language models for code (Code LLMs) have raised issues of data contamination and inflated evaluation metrics. The diversity and inaccessi…
cs.CR2024★ 10 cited
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors
Baijun Cheng, Shengming Zhao, Kailong Wang +6
Vulnerability detectors based on deep learning (DL) models have proven their effectiveness in recent years. However, the shroud of opacity surrounding the decision-making process o…
cs.CR2024★ 1 cited
MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack
Jiayi Hua, Kailong Wang, Meizhen Wang +3
Mobile malware has become one of the most critical security threats in the era of ubiquitous mobile computing. Despite the intensive efforts from security experts to counteract it,…