Xiaozhang Liu

Orcid: 0000-0001-9858-0063

According to our database1, Xiaozhang Liu authored at least 39 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Pseudo unlearning via sample swapping with hash.
Inf. Sci., 2024

Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images.
Int. J. Intell. Syst., 2024

Explanation-Guided Adversarial Example Attacks.
Big Data Res., 2024

2023
Explanation-based data-free model extraction attacks.
World Wide Web (WWW), September, 2023

Holistic Implicit Factor Evaluation of Model Extraction Attacks.
IEEE Trans. Dependable Secur. Comput., 2023

Explanation leaks: Explanation-guided model extraction attacks.
Inf. Sci., 2023

Zeroth-Order Gradient Approximation Based DaST for Black-Box Adversarial Attacks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
DSCAE: a denoising sparse convolutional autoencoder defense against adversarial examples.
J. Ambient Intell. Humaniz. Comput., 2022

Feature autoencoder for detecting adversarial examples.
Int. J. Intell. Syst., 2022

Towards explainable model extraction attacks.
Int. J. Intell. Syst., 2022

Kernel-based adversarial attacks and defenses on support vector classification.
Digit. Commun. Networks, 2022

Adversarial examples generated from sample subspace.
Comput. Stand. Interfaces, 2022

Discrete Wavelet Transform-Based CNN for Breast Cancer Classification from Histopathology Images.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Explanation-Guided Minimum Adversarial Attack.
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Detect Adversarial Examples by Using Feature Autoencoder.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

A Novel Pruning Method Based on Correlation Applied in Full-Connection Layer Neurons.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021
Dual attention guided multi-scale CNN for fine-grained image classification.
Inf. Sci., 2021

MHAT: An efficient model-heterogenous aggregation training scheme for federated learning.
Inf. Sci., 2021

Querying little is enough: Model inversion attack via latent information.
Int. J. Intell. Syst., 2021

A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information.
Int. J. Intell. Syst., 2021

CSRT rumor spreading model based on complex network.
Int. J. Intell. Syst., 2021

2020
A game-theoretic approach of mixing different qualities of coins.
Int. J. Intell. Syst., 2020

Video frame interpolation via optical flow estimation with image inpainting.
Int. J. Intell. Syst., 2020

Kernel Optimization in SVM for Defense Against Adversarial Attacks.
Proceedings of the Cyberspace Safety and Security - 12th International Symposium, 2020

2019
Kernel-based tensor discriminant analysis with fuzzy fusion for face recognition.
Int. J. Comput. Sci. Eng., 2019

2018
Face pose estimation based on kernelized maximum separability.
Soft Comput., 2018

2017
Kernel Bilinear Discriminant Analysis for Face Recognition.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016
Fisher discriminant analysis based on kernel cuboid for face recognition.
Soft Comput., 2016

2015
Dual-kernel based 2D linear discriminant analysis for face recognition.
J. Ambient Intell. Humaniz. Comput., 2015

2014
Distributed Face Recognition Using Multiple Kernel Discriminant Analysis in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2014

2013
Kernel-Based 2D Fisher Discriminant Analysis with parameter Optimization for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2013

Optimizing Weight and Threshold of BP Neural Network Using SFLA: Applications to Nonlinear Function Fitting.
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

2012
Multiple kernel discriminant analysis.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Probable Influence of E-government on Financial Accountability in China.
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.
IEEE Signal Process. Lett., 2009

A Simple Kernel Method with Shannon Wavelet Kernel for Face Recognition.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Gabor Feature-Based Face Recognition Using Riemannian Manifold Learning.
Proceedings of the PACIIA 2008, 2008

Fast training of support vector machines using top-down kernel clustering.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Kernel Bisecting k-means clustering for SVM training sample reduction.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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