Xiaozhang Liu

Yuan Qi

Int. J. Intell. Syst., 2024

Explanation-Guided Adversarial Example Attacks.

[BibT_eX]

[DOI]

Big Data Res., 2024

2023

Explanation-based data-free model extraction attacks.

[BibT_eX]

[DOI]

World Wide Web (WWW), September, 2023

Holistic Implicit Factor Evaluation of Model Extraction Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Explanation leaks: Explanation-guided model extraction attacks.

[BibT_eX]

[DOI]

Inf. Sci., 2023

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

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

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

[BibT_eX]

[DOI]

Chunlai Li

J. Ambient Intell. Humaniz. Comput., 2022

Feature autoencoder for detecting adversarial examples.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

Towards explainable model extraction attacks.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

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

[BibT_eX]

[DOI]

Digit. Commun. Networks, 2022

Adversarial examples generated from sample subspace.

[BibT_eX]

[DOI]

Comput. Stand. Interfaces, 2022

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

[BibT_eX]

[DOI]

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

Explanation-Guided Minimum Adversarial Attack.

[BibT_eX]

[DOI]

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

Detect Adversarial Examples by Using Feature Autoencoder.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

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

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

CSRT rumor spreading model based on complex network.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

2020

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

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2020

Video frame interpolation via optical flow estimation with image inpainting.

[BibT_eX]

[DOI]

Hui Liu

Yuxiu Lin

Int. J. Intell. Syst., 2020

Kernel Optimization in SVM for Defense Against Adversarial Attacks.

[BibT_eX]

[DOI]

Wanman Li

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

2019

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

[BibT_eX]

[DOI]

Hang-Yu Ruan

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

2018

Face pose estimation based on kernelized maximum separability.

[BibT_eX]

[DOI]

Yu-Wei Li

Soft Comput., 2018

2017

Kernel Bilinear Discriminant Analysis for Face Recognition.

[BibT_eX]

[DOI]

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

2016

Fisher discriminant analysis based on kernel cuboid for face recognition.

[BibT_eX]

[DOI]

Chen-Guang Zhang

Soft Comput., 2016

2015

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

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2015

2014

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

[BibT_eX]

[DOI]

Guan Yang

Int. J. Distributed Sens. Networks, 2014

2013

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Linfang Yang

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

2012

Multiple kernel discriminant analysis.

[BibT_eX]

[DOI]

Guo-Can Feng

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

2010

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

[BibT_eX]

[DOI]

Tian-Yi Chen

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.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2009

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

[BibT_eX]

[DOI]

Jingtao Fu

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

2008

Gabor Feature-Based Face Recognition Using Riemannian Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the PACIIA 2008, 2008

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]