Bowei Xi

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 20

Top Topics

Response Surface

Machine Learning

Polynomial Regression

Gene Prediction

Top Venues

PAKDD (Workshops)

Publications

Yan Zhou, Murat Kantarcioglu, Bowei Xi
Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Fan Wu, Bowei Xi
Differentially Private Causal Inference Under Hierarchical Design. ICDM (Workshops) (2023)
Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma
Understanding Dropout for Graph Neural Networks. WWW (Companion Volume) (2022)
Juan Shu, Bowei Xi, Charles A. Kamhoua
Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions. AISafety@IJCAI (2022)
Bowei Xi
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges. CoRR (2021)
Juan Shu, Bowei Xi, Charles A. Kamhoua
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. CoRR (2021)
Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma
Disease gene prediction with privileged information and heteroscedastic dropout. Bioinform. 37 (Supplement) (2021)
Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng
Bio-Inspired Adversarial Attack Against Deep Neural Networks. CoRR (2021)
Bowei Xi, Yujie Chen, Fei Fan, Zhan Tu, Xinyan Deng
Bio-Inspired Adversarial Attack Against Deep Neural Networks. SafeAI@AAAI (2020)
Yan Zhou, Murat Kantarcioglu, Bowei Xi
Adversarial Active Learning in the Presence of Weak and Malicious Oracles. PAKDD (Workshops) (2019)
Yan Zhou, Murat Kantarcioglu, Bowei Xi
A survey of game theoretic approach for adversarial machine learning. WIREs Data Mining Knowl. Discov. 9 (3) (2019)
Jun Jiang, Bowei Xi, Murat Kantarcioglu
Spatial counts under differential privacy mechanism on changing spatial scales. Comput. Secur. 77 (2018)
Walid K. Sharabati, Bowei Xi
A neighborhood regression approach for removing multiple types of noises. EURASIP J. Image Video Process. 2018 (2018)
Walid K. Sharabati, Bowei Xi
Robust Weighted Regression for Ultrasound Image Super-Resolution. ICME Workshops (2018)
Wutao Wei, Bowei Xi, Murat Kantarcioglu
Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries. CoRR (2018)
Yan Zhou, Murat Kantarcioglu, Bowei Xi
Breaking Transferability of Adversarial Samples with Randomness. CoRR (2018)
David E. Anderson, William S. Cleveland, Bowei Xi
Multifractal and Gaussian fractional sum-difference models for Internet traffic. Perform. Evaluation 107 (2017)
Xiaosu Tong, Bowei Xi, Murat Kantarcioglu, Ali Inan
Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy. DBSec (2017)
Walid K. Sharabati, Bowei Xi
Fast local polynomial regression approach for speckle noise removal. ICPR (2016)
Murat Kantarcioglu, Bowei Xi
Adversarial Data Mining: Big Data Meets Cyber Security. CCS (2016)
Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham, Bowei Xi
Adversarial support vector machine learning. KDD (2012)
Montserrat Fuentes, Bowei Xi, William S. Cleveland
Trellis display for modeling data from designed experiments. Stat. Anal. Data Min. 4 (1) (2011)
Murat Kantarcioglu, Bowei Xi, Chris Clifton
Classifier evaluation and attribute selection against active adversaries. Data Min. Knowl. Discov. 22 (1-2) (2011)
Bowei Xi, Murat Kantarcioglu, Ali Inan
Mixture of gaussian models and bayes error under differential privacy. CODASPY (2011)
Lorraine Denby, Jim Landwehr, Colin L. Mallows, Jean Meloche, John Tuck, Bowei Xi, George Michailidis, Vijayan N. Nair
Statistical Aspects of the Analysis of Data Networks. Technometrics 49 (3) (2007)
Yuni Xia, Bowei Xi
Conceptual Clustering Categorical Data with Uncertainty. ICTAI (1) (2007)
Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, Li Zhang
A smart hill-climbing algorithm for application server configuration. WWW (2004)