Xiaoning Du

selected publications

1. FuzzJIT: Towards Fuzzing JavaScript Engine JIT Compiler

   Junjie Wang, Zhiyi Zhang, Shuang Liu, Xiaoning Du, and Junjie Chen

   The 32nd USENIX Security Symposium (USENIX Security ’23) 2023

   Bib PDF

   @inproceedings{fuzzjit,
     title = {FuzzJIT: Towards Fuzzing JavaScript Engine JIT Compiler},
     author = {Wang, Junjie and Zhang, Zhiyi and Liu, Shuang and Du, Xiaoning and Chen, Junjie},
     booktitle = {The 32nd USENIX Security Symposium (USENIX Security '23)},
     year = {2023},
     selected = {true},
     bibtex_show = {true},
     pdf = {fuzzjit.pdf}
   }

2. CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning

   Zhensun Sun, Xiaoning Du, Fu Song, Mingze Ni, and Li Li

   The ACM Web Conference 2022 (WWW) 2022

   Bib PDF Code

   @inproceedings{sun2021coprotector,
     title = {CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning},
     author = {Sun, Zhensun and Du, Xiaoning and Song, Fu and Ni, Mingze and Li, Li},
     booktitle = {The ACM Web Conference 2022 (WWW)},
     year = {2022},
     selected = {true},
     bibtex_show = {true},
     code = {https://github.com/v587su/CoProtector},
     pdf = {coprotector.pdf}
   }

3. On the Importance of Building High-quality Training Datasets for Neural Code Search

   Zhensu Sun, Li Li, Yan Liu, Xiaoning Du, and Li Li

   44th International Conference on Software Engineering (ICSE) 2022

   Bib PDF Code

   ACM SIGSOFT distinguished paper award nomination

   @inproceedings{sun2022icse,
     title = {On the Importance of Building High-quality Training Datasets for Neural Code Search},
     author = {Sun, Zhensu and Li, Li and Liu, Yan and Du, Xiaoning and Li, Li},
     booktitle = {44th International Conference on Software Engineering (ICSE)},
     year = {2022},
     selected = {true},
     bibtex_show = {true},
     code = {https://github.com/v587su/NLQF},
     nomination = {true},
     pdf = {icse22-code-dataset-quality.pdf}
   }

4. Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks

   Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, and Meng Sun

   35th AAAI Conference on Artificial Intelligence 2021

   Bib PDF

   @inproceedings{zhang2021decision,
     title = {Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks},
     author = {Zhang, Xiyue and Du, Xiaoning and Xie, Xiaofei and Ma, Lei and Liu, Yang and Sun, Meng},
     booktitle = {35th AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {13},
     pages = {11699--11707},
     year = {2021},
     selected = {true},
     bibtex_show = {true},
     pdf = {wfa-aaai21.pdf}
   }

5. Who is real bob? adversarial attacks on speaker recognition systems

   Guangke Chen, Sen Chen, Lingling Fan, Xiaoning Du, Zhe Zhao, Fu Song, and Yang Liu

   42nd IEEE Symposium on Security and Privacy (SP) 2021

   Bib PDF Code

   @inproceedings{chen2021real,
     title = {Who is real bob? adversarial attacks on speaker recognition systems},
     author = {Chen, Guangke and Chen, Sen and Fan, Lingling and Du, Xiaoning and Zhao, Zhe and Song, Fu and Liu, Yang},
     booktitle = {42nd IEEE Symposium on Security and Privacy (SP)},
     pages = {694--711},
     year = {2021},
     organization = {IEEE},
     selected = {true},
     bibtex_show = {true},
     pdf = {speaker-verification-attack-sp19.pdf},
     code = {https://github.com/FAKEBOB-adversarial-attack/FAKEBOB}
   }

6. Towards characterizing adversarial defects of deep learning software from the lens of uncertainty

   Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, and Meng Sun

   42nd IEEE/ACM International Conference on Software Engineering (ICSE) 2020

   Bib PDF

   @inproceedings{zhang2020towards,
     title = {Towards characterizing adversarial defects of deep learning software from the lens of uncertainty},
     author = {Zhang, Xiyue and Xie, Xiaofei and Ma, Lei and Du, Xiaoning and Hu, Qiang and Liu, Yang and Zhao, Jianjun and Sun, Meng},
     booktitle = {42nd IEEE/ACM International Conference on Software Engineering (ICSE)},
     pages = {739--751},
     year = {2020},
     organization = {IEEE},
     selected = {true},
     bibtex_show = {true},
     pdf = {uncertainty-icse20.pdf}
   }

7. Marble: Model-based robustness analysis of stateful deep learning systems

   Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, and Jianjun Zhao

   35th IEEE/ACM International Conference on Automated Software Engineering (ASE) 2020

   Bib PDF Website

   @inproceedings{du2020marble,
     title = {Marble: Model-based robustness analysis of stateful deep learning systems},
     author = {Du, Xiaoning and Li, Yi and Xie, Xiaofei and Ma, Lei and Liu, Yang and Zhao, Jianjun},
     booktitle = {35th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
     pages = {423--435},
     year = {2020},
     selected = {true},
     bibtex_show = {true},
     pdf = {marble.pdf},
     website = {https://sites.google.com/view/marble-rnn/home}
   }

8. DeepStellar: model-based quantitative analysis of stateful deep learning systems

   Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu, and Jianjun Zhao

   27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE) 2019

   Bib PDF Code Website Demo

   @inproceedings{du2019deepstellar,
     title = {DeepStellar: model-based quantitative analysis of stateful deep learning systems},
     author = {Du, Xiaoning and Xie, Xiaofei and Li, Yi and Ma, Lei and Liu, Yang and Zhao, Jianjun},
     booktitle = {27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (FSE)},
     pages = {477--487},
     year = {2019},
     organization = {ACM},
     selected = {true},
     bibtex_show = {true},
     pdf = {deepstellar.pdf},
     website = {https://sites.google.com/view/deepstellar},
     code = {https://github.com/xiaoningdu/deepstellar},
     demo = {https://www.youtube.com/watch?v=xxKptWPngJA}
   }

9. Devign: effective vulnerability identification by learning comprehensive program semantics via graph neural networks

   Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, and Yang Liu

   Advances in Neural Information Processing Systems (NeurIPS) 2019

   Bib PDF

   @inproceedings{zhou2019devign,
     title = {Devign: effective vulnerability identification by learning comprehensive program semantics via graph neural networks},
     author = {Zhou, Yaqin and Liu, Shangqing and Siow, Jingkai and Du, Xiaoning and Liu, Yang},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2019},
     selected = {true},
     bibtex_show = {true},
     pdf = {devign.pdf}
   }

10. Leopard: Identifying vulnerable code for vulnerability assessment through program metrics

    Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, and Yu Jiang

    41st IEEE/ACM International Conference on Software Engineering (ICSE) 2019

    Bib PDF Website

    @inproceedings{du2019leopard,
      title = {Leopard: Identifying vulnerable code for vulnerability assessment through program metrics},
      author = {Du, Xiaoning and Chen, Bihuan and Li, Yuekang and Guo, Jianmin and Zhou, Yaqin and Liu, Yang and Jiang, Yu},
      booktitle = {41st IEEE/ACM International Conference on Software Engineering (ICSE)},
      pages = {60--71},
      year = {2019},
      organization = {IEEE},
      selected = {true},
      bibtex_show = {true},
      pdf = {leopard.pdf},
      website = {https://sites.google.com/site/leopardsite2017/home}
    }

11. Trace-Length Independent Runtime Monitoring of Quantitative Policies

    Xiaoning Du, Alwen Tiu, Kun Cheng, and Yang Liu

    IEEE Transactions on Dependable and Secure Computing (TDSC) (IF 6.404) 2019

    Bib PDF

    @article{du2019trace,
      title = {Trace-Length Independent Runtime Monitoring of Quantitative Policies},
      author = {Du, Xiaoning and Tiu, Alwen and Cheng, Kun and Liu, Yang},
      journal = {IEEE Transactions on Dependable and Secure Computing (TDSC) (IF 6.404)},
      year = {2019},
      publisher = {IEEE},
      selected = {true},
      bibtex_show = {true},
      pdf = {tdsc19.pdf}
    }