Výsledky vyhledávání - "Zhang, Ruqian"

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Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior

Autor: Zhang, Ruqian, Zhang, Yijiao, Qu, Annie, Zhu, Zhongyi, Shen, Juan

The popularity of transfer learning stems from the fact that it can borrow information from useful auxiliary datasets. Existing statistical transfer learning methods usually adopt a global similarity measure between the source data and the target dat

Externí odkaz: http://arxiv.org/abs/2404.03764

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On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities

Autor: Li, Zhen, Wang, Ning, Zou, Deqing, Li, Yating, Zhang, Ruqian, Xu, Shouhuai, Zhang, Chao, Jin, Hai

Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as function-level vulnerability dete

Externí odkaz: http://arxiv.org/abs/2401.09767

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Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers

Autor: Li, Zhen, Zhang, Ruqian, Zou, Deqing, Wang, Ning, Li, Yating, Xu, Shouhuai, Chen, Chen, Jin, Hai

Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship attribution, and vulnerability detection. Unfortunately, the black-box nature of deep learning mak

Externí odkaz: http://arxiv.org/abs/2309.10644

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