Hui Xu

According to our database, Hui Xu authored at least 36 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static Data-flow Analysis.

Mohan Cui, Chengjun Chen, Hui Xu, Yangfan Zhou

ACM Trans. Softw. Eng. Methodol., July, 2023

rCanary: Detecting Memory Leaks Across Semi-automated Memory Management Boundary in Rust.

Mohan Cui, Suran Sun, Hui Xu, Yangfan Zhou

CoRR, 2023

Is unsafe an Achilles' Heel? A Comprehensive Study of Safety Requirements in Unsafe Rust Programming.

Mohan Cui, Suran Sun, Hui Xu, Yangfan Zhou

CoRR, 2023

OOM-Guard: Towards Improving the Ergonomics of Rust OOM Handling via a Reservation-Based Approach.

Chengjun Chen, Zhicong Zhang, Hongliang Tian, Shoumeng Yan, Hui Xu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication.

Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li

Proceedings of the International Conference for High Performance Computing, 2023

Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience.

Bohan Zhang, Lishan Yang, Guanpeng Li, Hui Xu

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs.

Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, Michael R. Lyu

ACM Trans. Softw. Eng. Methodol., 2022

Rust Library Fuzzing.

Hui Xu

IEEE Softw., 2022

Safe Rust Code Recommendation Based on Siamese Graph Neural Network.

Xiuwen Lu, Zhicong Zhang, Hui Xu

Proceedings of the 27th IEEE Pacific Rim International Symposium on Dependable Computing, 2022

Automated Test Case Generation from Input Specification in Natural Language.

Tianyu Li, Xiuwen Lu, Hui Xu

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

LegoAI: Towards Building Reliable AI Software for Real-world Applications.

Mengyuan Hou, Hui Xu

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

2021

RULF: Rust Library Fuzzing via API Dependency Graph Traversal.

Jianfeng Jiang, Hui Xu, Yangfan Zhou

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Boosting symbolic execution via constraint solving time prediction (experience paper).

Sicheng Luo, Hui Xu, Yanxiang Bi, Xin Wang, Yangfan Zhou

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021.

Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramèr

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

Benchmarking the Capability of Symbolic Execution Tools with Logic Bombs.

Hui Xu, Zirui Zhao, Yangfan Zhou, Michael R. Lyu

IEEE Trans. Dependable Secur. Comput., 2020

Layered obfuscation: a taxonomy of software obfuscation techniques for layered security.

Hui Xu, Yangfan Zhou, Jiang Ming, Michael R. Lyu

Cybersecur., 2020

Memory-Safety Challenge Considered Solved? An Empirical Study with All Rust CVEs.

Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou

CoRR, 2020

Towards intelligent incident management: why we need it and how we make it.

Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Detecting Deep Neural Network Defects with Data Flow Analysis.

Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael R. Lyu

CoRR, 2019

Textout: Detecting Text-Layout Bugs in Mobile Apps via Visualization-Oriented Learning.

Yaohui Wang, Hui Xu, Yangfan Zhou, Michael R. Lyu, Xin Wang

Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming.

Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2019

Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks.

Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation.

Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King

CoRR, 2018

Manufacturing Resilient Bi-Opaque Predicates Against Symbolic Execution.

Hui Xu, Yangfan Zhou, Yu Kang, Fengzhi Tu, Michael R. Lyu

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

2017

On Secure and Usable Program Obfuscation: A Survey.

Hui Xu, Yangfan Zhou, Yu Kang, Michael R. Lyu

CoRR, 2017

IntelliAd: assisting mobile app developers in measuring ad costs automatically.

Cuiyun Gao, Yichuan Man, Hui Xu, Jieming Zhu, Yangfan Zhou, Michael R. Lyu

Proceedings of the 39th International Conference on Software Engineering, 2017

Concolic Execution on Small-Size Binaries: Challenges and Empirical Study.

Hui Xu, Yangfan Zhou, Yu Kang, Michael R. Lyu

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2017

2016

Assessing the Security Properties of Software Obfuscation.

Hui Xu, Michael R. Lyu

IEEE Secur. Priv., 2016

IntelliAd Understanding In-APP Ad Costs From Users Perspective.

Cuiyun Gao, Hui Xu, Yichuan Man, Yangfan Zhou, Michael R. Lyu

CoRR, 2016

DiagDroid: Android performance diagnosis via anatomizing asynchronous executions.

Yu Kang, Yangfan Zhou, Hui Xu, Michael R. Lyu

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

N-version Obfuscation.

Hui Xu, Yangfan Zhou, Michael R. Lyu

Proceedings of the 2nd ACM International Workshop on Cyber-Physical System Security, 2016

2015

N-Version Obfuscation: Impeding Software Tampering Replication with Program Diversity.

Hui Xu, Yangfan Zhou, Michael R. Lyu

CoRR, 2015

PersisDroid: Android Performance Diagnosis via Anatomizing Asynchronous Executions.

Yu Kang, Yangfan Zhou, Hui Xu, Michael R. Lyu

CoRR, 2015

AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining.

Cuiyun Gao, Hui Xu, Junjie Hu, Yangfan Zhou

Proceedings of the 2015 IEEE Symposium on Service-Oriented System Engineering, 2015

SpyAware: Investigating the privacy leakage signatures in app execution traces.

Hui Xu, Yangfan Zhou, Cuiyun Gao, Yu Kang, Michael R. Lyu

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

2014

Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones.

Hui Xu, Yangfan Zhou, Michael R. Lyu

Proceedings of the Tenth Symposium on Usable Privacy and Security, 2014