Bowei Xi

28 papers A* 3B 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2023 — conf
Differentially Private Causal Inference Under Hierarchical Design.
ICDM (Workshops)
Fan Wu, Bowei Xi
2023 J jnl
Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks.
IEEE Trans. Dependable Secur. Comput.
Yan Zhou, Murat Kantarcioglu, Bowei Xi
2022 — conf
Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions.
AISafety@IJCAI
Juan Shu, Bowei Xi, Charles A. Kamhoua
2022 — conf
Understanding Dropout for Graph Neural Networks.
WWW (Companion Volume)
Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma
2021 J jnl
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges.
CoRR
Bowei Xi
2021 J jnl
Bio-Inspired Adversarial Attack Against Deep Neural Networks.
CoRR
Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng
2021 J jnl
Disease gene prediction with privileged information and heteroscedastic dropout.
Bioinform.
Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma
2021 J jnl
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions.
CoRR
Juan Shu, Bowei Xi, Charles A. Kamhoua
2020 — conf
Bio-Inspired Adversarial Attack Against Deep Neural Networks.
SafeAI@AAAI
Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng
2019 J jnl
A survey of game theoretic approach for adversarial machine learning.
WIREs Data Mining Knowl. Discov.
Yan Zhou, Murat Kantarcioglu, Bowei Xi
2019 — conf
Adversarial Active Learning in the Presence of Weak and Malicious Oracles.
PAKDD (Workshops)
Yan Zhou, Murat Kantarcioglu, Bowei Xi
2018 J jnl
A neighborhood regression approach for removing multiple types of noises.
EURASIP J. Image Video Process.
Walid K. Sharabati, Bowei Xi
2018 J jnl
Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries.
CoRR
Wutao Wei, Bowei Xi, Murat Kantarcioglu
2018 J jnl
Breaking Transferability of Adversarial Samples with Randomness.
CoRR
Yan Zhou, Murat Kantarcioglu, Bowei Xi
2018 — conf
Robust Weighted Regression for Ultrasound Image Super-Resolution.
ICME Workshops
Walid K. Sharabati, Bowei Xi
2018 J jnl
Spatial counts under differential privacy mechanism on changing spatial scales.
Comput. Secur.
Jun Jiang, Bowei Xi, Murat Kantarcioglu
2017 B conf
Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy.
DBSec
Xiaosu Tong, Bowei Xi, Murat Kantarcioglu, Ali Inan
2017 J jnl
Multifractal and Gaussian fractional sum-difference models for Internet traffic.
Perform. Evaluation
David E. Anderson, William S. Cleveland, Bowei Xi
2016 A* conf
Adversarial Data Mining: Big Data Meets Cyber Security.
CCS
Murat Kantarcioglu, Bowei Xi
2016 B conf
Fast local polynomial regression approach for speckle noise removal.
ICPR
Walid K. Sharabati, Bowei Xi
2012 A* conf
Adversarial support vector machine learning.
KDD
Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi
2011 J jnl
Classifier evaluation and attribute selection against active adversaries.
Data Min. Knowl. Discov.
Murat Kantarcioglu, Bowei Xi, Chris Clifton
2011 — conf
Mixture of gaussian models and bayes error under differential privacy.
CODASPY
Bowei Xi, Murat Kantarcioglu, Ali Inan
2011 J jnl
Trellis display for modeling data from designed experiments.
Stat. Anal. Data Min.
Montserrat Fuentes, Bowei Xi, William S. Cleveland
2007 — conf
Conceptual Clustering Categorical Data with Uncertainty.
ICTAI (1)
Yuni Xia, Bowei Xi
2007 J jnl
Statistical Aspects of the Analysis of Data Networks.
Technometrics
Lorraine Denby, Jim Landwehr, Colin L. Mallows, Jean Meloche, John Tuck, Bowei Xi, George Michailidis, Vijayan N. Nair
2004 A* conf
A smart hill-climbing algorithm for application server configuration.
WWW
Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, Li Zhang
2004 — —
Estimating internal link loss rates using active network tomography.
Bowei Xi