Xiaozhang Liu

According to our database, Xiaozhang Liu authored at least 36 papers between 2008 and 2023.

Collaborative distances:

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

2023

Explanation-based data-free model extraction attacks.

Anli Yan, Ruitao Hou, Hongyang Yan, Xiaozhang Liu

World Wide Web (WWW), September, 2023

Holistic Implicit Factor Evaluation of Model Extraction Attacks.

Anli Yan, Hongyang Yan, Li Hu, Xiaozhang Liu, Teng Huang

IEEE Trans. Dependable Secur. Comput., 2023

Explanation leaks: Explanation-guided model extraction attacks.

Anli Yan, Teng Huang, Lishan Ke, Xiaozhang Liu, Qi Chen, Changyu Dong

Inf. Sci., 2023

Zeroth-Order Gradient Approximation Based DaST for Black-Box Adversarial Attacks.

Yanfei Zhu, Yaochi Zhao, Zhuhua Hu, Xiaozhang Liu, Anli Yan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

DSCAE: a denoising sparse convolutional autoencoder defense against adversarial examples.

Hongwei Ye, Xiaozhang Liu, Chunlai Li

J. Ambient Intell. Humaniz. Comput., 2022

Feature autoencoder for detecting adversarial examples.

Hongwei Ye, Xiaozhang Liu

Int. J. Intell. Syst., 2022

Towards explainable model extraction attacks.

Anli Yan, Ruitao Hou, Xiaozhang Liu, Hongyang Yan, Teng Huang, Xianmin Wang

Int. J. Intell. Syst., 2022

Kernel-based adversarial attacks and defenses on support vector classification.

Wanman Li, Xiaozhang Liu, Anli Yan, Jie Yang

Digit. Commun. Networks, 2022

Adversarial examples generated from sample subspace.

Xiaozhang Liu, Lang Li, Xueyang Wang, Li Hu

Comput. Stand. Interfaces, 2022

Discrete Wavelet Transform-Based CNN for Breast Cancer Classification from Histopathology Images.

Yuan Qi, Xiaozhang Liu, Hua Li, Mingting Liu, Wei Li

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Explanation-Guided Minimum Adversarial Attack.

Mingting Liu, Xiaozhang Liu, Anli Yan, Yuan Qi, Wei Li

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Detect Adversarial Examples by Using Feature Autoencoder.

Hongwei Ye, Xiaozhang Liu, Anli Yan, Lang Li, Xiulai Li

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Novel Pruning Method Based on Correlation Applied in Full-Connection Layer Neurons.

Shuoyu Dong, Xiaozhang Liu, Xiulai Li, GengQuan Xie, Xin Tang

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

Dual attention guided multi-scale CNN for fine-grained image classification.

Xiaozhang Liu, Lifeng Zhang, Tao Li, Dejian Wang, Zhaojie Wang

Inf. Sci., 2021

MHAT: An efficient model-heterogenous aggregation training scheme for federated learning.

Li Hu, Hongyang Yan, Lang Li, Zijie Pan, Xiaozhang Liu, Zulong Zhang

Inf. Sci., 2021

Querying little is enough: Model inversion attack via latent information.

Kanghua Mo, Xiaozhang Liu, Teng Huang, Anli Yan

Int. J. Intell. Syst., 2021

A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information.

Yang Li, Xiaozhang Liu, Zhu-Hong You, Li-Ping Li, Jian-Xin Guo, Zheng Wang

Int. J. Intell. Syst., 2021

CSRT rumor spreading model based on complex network.

Shan Ai, Sheng Hong, Xinyang Zheng, Yue Wang, Xiaozhang Liu

Int. J. Intell. Syst., 2021

2020

A game-theoretic approach of mixing different qualities of coins.

Xiaozhang Liu, Xinying Yu, Haojia Zhu, Guoyu Yang, Yilei Wang, Xiaomei Yu

Int. J. Intell. Syst., 2020

Video frame interpolation via optical flow estimation with image inpainting.

Xiaozhang Liu, Hui Liu, Yuxiu Lin

Int. J. Intell. Syst., 2020

Kernel Optimization in SVM for Defense Against Adversarial Attacks.

Wanman Li, Xiaozhang Liu

Proceedings of the Cyberspace Safety and Security - 12th International Symposium, 2020

2019

Kernel-based tensor discriminant analysis with fuzzy fusion for face recognition.

Xiao-Zhang Liu, Hang-Yu Ruan

Int. J. Comput. Sci. Eng., 2019

2018

Face pose estimation based on kernelized maximum separability.

Xiao-Zhang Liu, Yu-Wei Li

Soft Comput., 2018

2017

Kernel Bilinear Discriminant Analysis for Face Recognition.

Xiao-Zhang Liu

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

Fisher discriminant analysis based on kernel cuboid for face recognition.

Xiao-Zhang Liu, Chen-Guang Zhang

Soft Comput., 2016

2015

Dual-kernel based 2D linear discriminant analysis for face recognition.

Xiaozhang Liu, Hongwei Ye

J. Ambient Intell. Humaniz. Comput., 2015

2014

Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks.

Xiao-Zhang Liu, Guan Yang

Int. J. Distributed Sens. Networks, 2014

2013

Kernel-Based 2D Fisher Discriminant Analysis with parameter Optimization for Face Recognition.

Xiao-Zhang Liu, Patrick S. P. Wang, Guo-Can Feng

Int. J. Pattern Recognit. Artif. Intell., 2013

Optimizing Weight and Threshold of BP Neural Network Using SFLA: Applications to Nonlinear Function Fitting.

Hongwei Ye, Linfang Yang, Xiaozhang Liu

Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

2012

Multiple kernel discriminant analysis.

Xiao-Zhang Liu, Guo-Can Feng

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010

Probable Influence of E-government on Financial Accountability in China.

Tian-Yi Chen, Xiao-Zhang Liu, Jing-Tao Fu

Proceedings of the International Conference on E-Business and E-Government, 2010

2009

Learning Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations.

Xiao-Zhang Liu, Wen-Sheng Chen, Pong Chi Yuen, Guo-Can Feng

IEEE Signal Process. Lett., 2009

A Simple Kernel Method with Shannon Wavelet Kernel for Face Recognition.

Jingtao Fu, Xiaozhang Liu

Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008

Gabor Feature-Based Face Recognition Using Riemannian Manifold Learning.

Xiao-Zhang Liu

Proceedings of the PACIIA 2008, 2008

Fast training of support vector machines using top-down kernel clustering.

Xiao-Zhang Liu, Hui-Zhen Qiu

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Kernel Bisecting k-means clustering for SVM training sample reduction.

Xiao-Zhang Liu, Guo-Can Feng

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008