Bowei Xi

According to our database, Bowei Xi authored at least 27 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

IEEE Trans. Dependable Secur. Comput., 2023

Differentially Private Causal Inference Under Hierarchical Design.

Fan Wu, Bowei Xi

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Understanding Dropout for Graph Neural Networks.

Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions.

Juan Shu, Bowei Xi, Charles A. Kamhoua

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022

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 Response Surface and Uncertainty Regions.

Juan Shu, Bowei Xi, Charles A. Kamhoua

CoRR, 2021

Disease gene prediction with privileged information and heteroscedastic dropout.

Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma

Bioinform., 2021

2020

Bio-Inspired Adversarial Attack Against Deep Neural Networks.

Bowei Xi, Yujie Chen, Fei Fan, Zhan Tu, Xinyan Deng

Proceedings of the Workshop on Artificial Intelligence Safety, 2020

2019

A survey of game theoretic approach for adversarial machine learning.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

WIREs Data Mining Knowl. Discov., 2019

Adversarial Active Learning in the Presence of Weak and Malicious Oracles.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

2018

A neighborhood regression approach for removing multiple types of noises.

Walid K. Sharabati, Bowei Xi

EURASIP J. Image Video Process., 2018

Breaking Transferability of Adversarial Samples with Randomness.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

CoRR, 2018

Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries.

Wutao Wei, Bowei Xi, Murat Kantarcioglu

CoRR, 2018

Spatial counts under differential privacy mechanism on changing spatial scales.

Jun Jiang, Bowei Xi, Murat Kantarcioglu

Comput. Secur., 2018

Robust Weighted Regression for Ultrasound Image Super-Resolution.

Walid K. Sharabati, Bowei Xi

Proceedings of the 2018 IEEE International Conference on Multimedia & Expo Workshops, 2018

2017

Multifractal and Gaussian fractional sum-difference models for Internet traffic.

David E. Anderson, William S. Cleveland, Bowei Xi

Perform. Evaluation, 2017

Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy.

Xiaosu Tong, Bowei Xi, Murat Kantarcioglu, Ali Inan

Proceedings of the Data and Applications Security and Privacy XXXI, 2017

2016

Fast local polynomial regression approach for speckle noise removal.

Walid K. Sharabati, Bowei Xi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Adversarial Data Mining: Big Data Meets Cyber Security.

Murat Kantarcioglu, Bowei Xi

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2012

Adversarial support vector machine learning.

Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Trellis display for modeling data from designed experiments.

Montserrat Fuentes, Bowei Xi, William S. Cleveland

Stat. Anal. Data Min., 2011

Classifier evaluation and attribute selection against active adversaries.

Murat Kantarcioglu, Bowei Xi, Chris Clifton

Data Min. Knowl. Discov., 2011

Mixture of gaussian models and bayes error under differential privacy.

Bowei Xi, Murat Kantarcioglu, Ali Inan

Proceedings of the First ACM Conference on Data and Application Security and Privacy, 2011

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

Conceptual Clustering Categorical Data with Uncertainty.

Yuni Xia, Bowei Xi

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2004

Estimating internal link loss rates using active network tomography.

Bowei Xi

PhD thesis, 2004

A smart hill-climbing algorithm for application server configuration.

Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, Li Zhang

Proceedings of the 13th international conference on World Wide Web, 2004