paper-conference

Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities
With the increasing adoption of deep learning (DL) in various applications, developers often reuse models by, for example, performing …
Zizhuang Deng, Guozhu Meng, Kai Chen, Tong Liu, Lu Xiang, and Chunyang Chen
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Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities
Understanding real-world threats to deep learning models in Android apps
Famous for its superior performance, deep learning (DL) has been popularly used within many applications, which also at the same time …
Zizhuang Deng, Kai Chen, Guozhu Meng, Xiaodong Zhang, Ke Xu, and Yao Cheng
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Understanding real-world threats to deep learning models in Android apps
FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning
Recently, directed grey-box fuzzing (DGF) becomes popular in the field of software testing. Different from coverage-based fuzzing whose …
Peiyuan Zong, Tao Lv, Dawei Wang, Zizhuang Deng, Ruigang Liang, and Kai Chen
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FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning