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Code Integrity Attestation for PLCs using Black Box Neural Network Predictions


Jun 15, 2021
Yuqi Chen, Christopher M. Poskitt, Jun Sun

* Accepted by the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2021) 

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Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems


May 22, 2021
Yifan Jia, Jingyi Wang, Christopher M. Poskitt, Sudipta Chattopadhyay, Jun Sun, Yuqi Chen

* Accepted by the International Journal of Critical Infrastructure Protection (IJCIP) 

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Plane Spiral OAM Mode-Group Based MIMO Communications: An Experimental Study


Mar 11, 2021
Xiaowen Xiong, Shilie Zheng, Zelin Zhu, Yuqi Chen, Hongzhe Shi, Bingchen Pan, Cheng Ren, Xianbin Yu, Xiaofeng Jin, Wei E. I. Sha, Xianmin Zhang


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Active Fuzzing for Testing and Securing Cyber-Physical Systems


May 28, 2020
Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun, Fan Zhang

* Accepted by the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020) 

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Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System


Jun 13, 2018
Yuqi Chen, Christopher M. Poskitt, Jun Sun

* In Proc. IEEE Symposium on Security & Privacy (S&P 2018), pages 648-660. IEEE, 2018 
* Accepted by IEEE S&P 2018 

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Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning


Sep 25, 2017
Jun Inoue, Yoriyuki Yamagata, Yuqi Chen, Christopher M. Poskitt, Jun Sun

* Proc. IEEE International Conference on Data Mining Workshops (ICDMW 2017): Data Mining for Cyberphysical and Industrial Systems (DMCIS 2017), pages 1058-1065. IEEE, 2017 

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Towards Learning and Verifying Invariants of Cyber-Physical Systems by Code Mutation


Sep 06, 2016
Yuqi Chen, Christopher M. Poskitt, Jun Sun

* In Proc. International Symposium on Formal Methods (FM 2016), volume 9995 of LNCS, pages 155-163. Springer, 2016 
* Short paper accepted by the 21st International Symposium on Formal Methods (FM 2016) 

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