Kaixuan Zhang

According to our database, Kaixuan Zhang authored at least 14 papers between 2016 and 2021.

Collaborative distances:

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

2021

An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Entropy, 2021

2020

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.

Kaixuan Zhang, Qinglong Wang, Xue Liu, C. Lee Giles

Neural Comput., 2020

Deep Learning, Grammar Transfer, and Transportation Theory.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Adversarial Models for Deterministic Finite Automata.

Kaixuan Zhang, Qinglong Wang, C. Lee Giles

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.

Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles

CoRR, 2019

2018

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

Neural Comput., 2018

Verification of Recurrent Neural Networks Through Rule Extraction.

Qinglong Wang, Kaixuan Zhang, Xue Liu, C. Lee Giles

CoRR, 2018

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

CoRR, 2018

Defending Against Adversarial Samples Without Security through Obscurity.

Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

An Empirical Evaluation of Recurrent Neural Network Rule Extraction.

Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

CoRR, 2017

Towards Interrogating Discriminative Machine Learning Models.

Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing

CoRR, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Random Feature Nullification for Adversary Resistant Deep Architecture.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016