86 citations · 278 across the 22 of their papers we have counts for
22 papers
xFuzz: Machine Learning Guided Cross-Contract Fuzzing
Yinxing Xue, Jiaming Ye, Wei Zhang +4
Smart contract transactions are increasingly interleaved by cross-contract calls. While many tools have been developed to identify a common set of vulnerabilities, the cross-contra…
Code Integrity Attestation for PLCs using Black Box Neural Network Predictions
Yuqi Chen, Christopher M. Poskitt, Jun Sun
Cyber-physical systems (CPSs) are widespread in critical domains, and significant damage can be caused if an attacker is able to modify the code of their programmable logic control…
A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries
Xin Wang, Xin Peng, Jun Sun +3
Code summarization is the task of generating natural language description of source code, which is important for program understanding and maintenance. Existing approaches treat th…
sGUARD: Towards Fixing Vulnerable Smart Contracts Automatically
Tai D. Nguyen, Long H. Pham, Jun Sun
Smart contracts are distributed, self-enforcing programs executing on top of blockchain networks. They have the potential to revolutionize many industries such as financial institu…
Towards Repairing Neural Networks Correctly
Guoliang Dong, Jun Sun, Jingyi Wang +2
Neural networks are increasingly applied to support decision making in safety-critical applications (like autonomous cars, unmanned aerial vehicles and face recognition based authe…
Holistic Combination of Structural and Textual Code Information for Context based API Recommendation
Chi Chen, Xin Peng, Zhenchang Xing +4
Context based API recommendation is an important way to help developers find the needed APIs effectively and efficiently. For effective API recommendation, we need not only a joint…