A smart hill-climbing algorithm for application server configuration. - Bowei Xi; Zhen Liu 001; Mukund Raghavachari; Cathy H. Xia; Li Zhang 002 (WWW, 2004)

Estimating internal link loss rates using active network tomography. - Bowei Xi (2004)

Conceptual Clustering Categorical Data with Uncertainty. - Yuni Xia; Bowei Xi (ICTAI (1), 2007)

Statistical Aspects of the Analysis of Data Networks. - Lorraine Denby; Jim Landwehr; Colin L. Mallows; Jean Meloche; John Tuck; Bowei Xi; George Michailidis; Vijayan N. Nair (Technometrics, 2007)

Mixture of gaussian models and bayes error under differential privacy. - Bowei Xi; Murat Kantarcioglu; Ali Inan (CODASPY, 2011)

Classifier evaluation and attribute selection against active adversaries. - Murat Kantarcioglu; Bowei Xi; Chris Clifton (Data Min. Knowl. Discov., 2011)

Trellis display for modeling data from designed experiments. - Montserrat Fuentes; Bowei Xi; William S. Cleveland (Stat. Anal. Data Min., 2011)

Adversarial support vector machine learning. - Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham; Bowei Xi (KDD, 2012)

Adversarial Data Mining: Big Data Meets Cyber Security. - Murat Kantarcioglu; Bowei Xi (CCS, 2016)

Fast local polynomial regression approach for speckle noise removal. - Walid K. Sharabati; Bowei Xi (ICPR, 2016)

Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy. - Xiaosu Tong; Bowei Xi; Murat Kantarcioglu; Ali Inan (DBSec, 2017)

Multifractal and Gaussian fractional sum-difference models for Internet traffic. - David E. Anderson; William S. Cleveland; Bowei Xi (Perform. Evaluation, 2017)

Robust Weighted Regression for Ultrasound Image Super-Resolution. - Walid K. Sharabati; Bowei Xi (ICME Workshops, 2018)

Spatial counts under differential privacy mechanism on changing spatial scales. - Jun Jiang 004; Bowei Xi; Murat Kantarcioglu (Comput. Secur., 2018)

Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries. - Wutao Wei; Bowei Xi; Murat Kantarcioglu (CoRR, 2018)

Breaking Transferability of Adversarial Samples with Randomness. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (CoRR, 2018)

A neighborhood regression approach for removing multiple types of noises. - Walid K. Sharabati; Bowei Xi (EURASIP J. Image Video Process., 2018)

Adversarial Active Learning in the Presence of Weak and Malicious Oracles. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (PAKDD (Workshops), 2019)

A survey of game theoretic approach for adversarial machine learning. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (WIREs Data Mining Knowl. Discov., 2019)

Bio-Inspired Adversarial Attack Against Deep Neural Networks. - Bowei Xi; Yujie Chen; Fan Fei 002; Zhan Tu; Xinyan Deng (SafeAI@AAAI, 2020)

Disease gene prediction with privileged information and heteroscedastic dropout. - Juan Shu; Yu Li 006; Sheng Wang 012; Bowei Xi; Jianzhu Ma (Bioinform., 2021)

Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. - Juan Shu; Bowei Xi; Charles A. Kamhoua (CoRR, 2021)

Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges. - Bowei Xi (CoRR, 2021)

Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions. - Juan Shu; Bowei Xi; Charles A. Kamhoua (AISafety@IJCAI, 2022)

Understanding Dropout for Graph Neural Networks. - Juan Shu; Bowei Xi; Yu Li 006; Fan Wu; Charles A. Kamhoua; Jianzhu Ma (WWW (Companion Volume), 2022)

Differentially Private Causal Inference Under Hierarchical Design. - Fan Wu; Bowei Xi (ICDM (Workshops), 2023)

Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (IEEE Trans. Dependable Secur. Comput., 2023)