634 citations · 860 across the 6 of their papers we have counts for
6 papers
Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers
Zhen Li, Ruqian Zhang, Deqing Zou +5
Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship attribution, and vulnerabili…
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li, Jing Tang, Deqing Zou +5
Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detector…
HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis
Yueming Wu, Deqing Zou, Wei Yang +2
Android has become the most popular mobile operating system. Correspondingly, an increasing number of Android malware has been developed and spread to steal users' private informat…
Contrastive Learning for Robust Android Malware Familial Classification
Yueming Wu, Shihan Dou, Deqing Zou +3
Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps…
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhen Li, Deqing Zou, Shouhuai Xu +3
Automatically detecting software vulnerabilities is an important problem that has attracted much attention from the academic research community. However, existing vulnerability det…
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
Zhen Li, Deqing Zou, Shouhuai Xu +3
The detection of software vulnerabilities (or vulnerabilities for short) is an important problem that has yet to be tackled, as manifested by the many vulnerabilities reported on a…