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2020 – today
- 2023
[j9]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): 83-99 (2023)- [c13]Fan Wu, Bowei Xi:
Differentially Private Causal Inference Under Hierarchical Design. ICDM (Workshops) 2023: 1390-1399 - 2022
- [c12]Juan Shu, Bowei Xi, Charles A. Kamhoua:
Understanding Adversarial Examples Through Deep Neural Network's Classification Boundary and Uncertainty Regions. AISafety@IJCAI 2022 - [c11]Juan Shu, Bowei Xi, Yu Li, Fan Wu, Charles A. Kamhoua, Jianzhu Ma:
Understanding Dropout for Graph Neural Networks. WWW (Companion Volume) 2022: 1128-1138 - 2021
- [j8]Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma:
Disease gene prediction with privileged information and heteroscedastic dropout. Bioinform. 37(Supplement): 410-417 (2021) - [i5]Juan Shu, Bowei Xi, Charles A. Kamhoua:
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. CoRR abs/2107.00003 (2021) - [i4]Bowei Xi:
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges. CoRR abs/2107.02894 (2021) - [i3]Bowei Xi, Yujie Chen, Fan Fei, Zhan Tu, Xinyan Deng:
Bio-Inspired Adversarial Attack Against Deep Neural Networks. CoRR abs/2107.02895 (2021) - 2020
- [c10]Bowei Xi, Yujie Chen, Fei Fan, Zhan Tu, Xinyan Deng:
Bio-Inspired Adversarial Attack Against Deep Neural Networks. SafeAI@AAAI 2020: 1-5
2010 – 2019
- 2019
- [j7]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
A survey of game theoretic approach for adversarial machine learning. WIREs Data Mining Knowl. Discov. 9(3) (2019) - [c9]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
Adversarial Active Learning in the Presence of Weak and Malicious Oracles. PAKDD (Workshops) 2019: 77-89 - 2018
- [j6]Jun Jiang, Bowei Xi, Murat Kantarcioglu:
Spatial counts under differential privacy mechanism on changing spatial scales. Comput. Secur. 77: 642-652 (2018) - [j5]Walid K. Sharabati, Bowei Xi:
A neighborhood regression approach for removing multiple types of noises. EURASIP J. Image Video Process. 2018: 19 (2018) - [c8]Walid K. Sharabati, Bowei Xi:
Robust Weighted Regression for Ultrasound Image Super-Resolution. ICME Workshops 2018: 1-6 - [i2]Wutao Wei, Bowei Xi, Murat Kantarcioglu:
Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries. CoRR abs/1804.04780 (2018) - [i1]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
Breaking Transferability of Adversarial Samples with Randomness. CoRR abs/1805.04613 (2018) - 2017
- [j4]David E. Anderson, William S. Cleveland, Bowei Xi:
Multifractal and Gaussian fractional sum-difference models for Internet traffic. Perform. Evaluation 107: 1-33 (2017) - [c7]Xiaosu Tong, Bowei Xi, Murat Kantarcioglu, Ali Inan:
Gaussian Mixture Models for Classification and Hypothesis Tests Under Differential Privacy. DBSec 2017: 123-141 - 2016
- [c6]Murat Kantarcioglu, Bowei Xi:
Adversarial Data Mining: Big Data Meets Cyber Security. CCS 2016: 1866-1867 - [c5]Walid K. Sharabati, Bowei Xi:
Fast local polynomial regression approach for speckle noise removal. ICPR 2016: 3198-3203 - 2012
- [c4]Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi:
Adversarial support vector machine learning. KDD 2012: 1059-1067 - 2011
- [j3]Murat Kantarcioglu, Bowei Xi, Chris Clifton:
Classifier evaluation and attribute selection against active adversaries. Data Min. Knowl. Discov. 22(1-2): 291-335 (2011) - [j2]Montserrat Fuentes, Bowei Xi, William S. Cleveland:
Trellis display for modeling data from designed experiments. Stat. Anal. Data Min. 4(1): 133-145 (2011) - [c3]Bowei Xi, Murat Kantarcioglu, Ali Inan:
Mixture of gaussian models and bayes error under differential privacy. CODASPY 2011: 179-190
2000 – 2009
- 2007
- [j1]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): 318-334 (2007) - [c2]Yuni Xia, Bowei Xi:
Conceptual Clustering Categorical Data with Uncertainty. ICTAI (1) 2007: 329-336 - 2004
- [b1]Bowei Xi:
Estimating internal link loss rates using active network tomography. University of Michigan, USA, 2004 - [c1]Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. Xia, Li Zhang:
A smart hill-climbing algorithm for application server configuration. WWW 2004: 287-296
Coauthor Index
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