| 2023 | ICDM | Differentially Private Causal Inference Under Hierarchical Design. | Fan Wu, Bowei Xi |
| 2022 | IJCAI | Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions. | Juan Shu, Bowei Xi, Charles A. Kamhoua |
| 2022 | WWW | Understanding Dropout for Graph Neural Networks. | Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma |
| 2020 | AAAI | Bio-Inspired Adversarial Attack Against Deep Neural Networks. | Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng |
| 2019 | PAKDD | Adversarial Active Learning in the Presence of Weak and Malicious Oracles. | Yan Zhou, Murat Kantarcioglu, Bowei Xi |
| 2017 | DBSEC | Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy. | Xiaosu Tong, Bowei Xi, Murat Kantarcioglu, Ali Inan |
| 2016 | CCS | Adversarial Data Mining: Big Data Meets Cyber Security. | Murat Kantarcioglu, Bowei Xi |
| 2016 | ICPR | Fast local polynomial regression approach for speckle noise removal. | Walid K. Sharabati, Bowei Xi |
| 2012 | KDD | Adversarial support vector machine learning. | Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi |
| 2007 | ICTAI | Conceptual Clustering Categorical Data with Uncertainty. | Yuni Xia, Bowei Xi |
| 2004 | WWW | A smart hill-climbing algorithm for application server configuration. | Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, Li Zhang |