publications

2024

1. ICLR’24

   Demystifying Poisoning Backdoor Attacks from a Statistical Perspective

   Ganghua Wang, Xun Xian, Jayanth Srinivasa, and 4 more authors

   In The International Conference on Learning Representations, 2024

   Bib HTML

   @inproceedings{xw_2024,
     title = {Demystifying Poisoning Backdoor Attacks from a Statistical Perspective},
     author = {Wang, Ganghua and Xian, Xun and Srinivasa, Jayanth and Kundu, Ashish and Bi, Xuan and Hong, Mingyi and Ding, Jie},
     corresponding = {Ganghua Wang and Xun Xian},
     equalcontribution = {true},
     booktitle = {The International Conference on Learning Representations},
     year = {2024}
   }

2023

1. NeurIPS’23

   A Unified Detection Framework for Inference-Stage Backdoor Defenses

   Xun Xian, Ganghua Wang, Jayanth Srinivasa, and 4 more authors

   In Thirty-seventh Conference on Neural Information Processing Systems, 2023

   Bib HTML

   @inproceedings{xian2023defense,
     title = {A Unified Detection Framework for Inference-Stage Backdoor Defenses},
     author = {Xian, Xun and Wang, Ganghua and Srinivasa, Jayanth and Kundu, Ashish and Bi, Xuan and Hong, Mingyi and Ding, Jie},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023}
   }

2. ICML’23

   Understanding Backdoor Attacks through the Adaptability Hypothesis

   Xun Xian, Ganghua Wang, Jayanth Srinivasa, and 4 more authors

   In International Conference on Machine Learning, 2023

   Bib HTML

   @inproceedings{xian2023understanding,
     title = {Understanding Backdoor Attacks through the {Adaptability Hypothesis}},
     author = {Xian, Xun and Wang, Ganghua and Srinivasa, Jayanth and Kundu, Ashish and Bi, Xuan and Hong, Mingyi and Ding, Jie},
     corresponding = {Xun Xian and Ganghua Wang},
     equalcontribution = {true},
     booktitle = {International Conference on Machine Learning},
     year = {2023}
   }

2022

1. TPSISA’22

   Understanding Model Extraction Games

   Xun Xian, Mingyi Hong, and Jie Ding

   In 2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, 2022

   Bib HTML

   @inproceedings{xian2022model,
     title = {Understanding Model Extraction Games},
     author = {Xian, Xun and Hong, Mingyi and Ding, Jie},
     booktitle = {2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications},
     year = {2022}
   }

2. ICASSP’22

   Mismatched Supervised Learning

   Xun Xian, Mingyi Hong, and Jie Ding

   In 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, 2022

   Bib HTML

   @inproceedings{xian2022mismatched,
     title = {Mismatched Supervised Learning},
     author = {Xian, Xun and Hong, Mingyi and Ding, Jie},
     booktitle = {2022 IEEE International Conference on Acoustics, Speech and Signal Processing},
     year = {2022}
   }

2021

1. ICASSP’21

   Assisted learning: cooperative AI with autonomy

   Jiaying Zhou, Xun Xian, Na Li, and 1 more author

   In 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, 2021

   Bib HTML

   @inproceedings{zhou2021assisted,
     title = {Assisted learning: cooperative AI with autonomy},
     author = {Zhou, Jiaying and Xian, Xun and Li, Na and Ding, Jie},
     booktitle = {2021 IEEE International Conference on Acoustics, Speech and Signal Processing},
     year = {2021}
   }

2020

1. NeurIPS’20

   Assisted learning: A framework for multi-organization learning

   Xun Xian, Xinran Wang, Jie Ding, and 1 more author

   In Thirty-fourth Conference on Neural Information Processing Systems, 2020

   Bib HTML

   @inproceedings{xian2020assisted,
     title = {Assisted learning: A framework for multi-organization learning},
     author = {Xian, Xun and Wang, Xinran and Ding, Jie and Ghanadan, Reza},
     booktitle = {Thirty-fourth Conference on Neural Information Processing Systems},
     year = {2020}
   }