Qinglong Wang

Entropy, 2021

2020

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

[BibT_eX]

[DOI]

Neural Comput., 2020

Deep Learning, Grammar Transfer, and Transportation Theory.

[BibT_eX]

[DOI]

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

Adversarial Models for Deterministic Finite Automata.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

2018

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 2018

Verification of Recurrent Neural Networks Through Rule Extraction.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Defending Against Adversarial Samples Without Security through Obscurity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

An Empirical Evaluation of Recurrent Neural Network Rule Extraction.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.

[BibT_eX]

[DOI]