Learning Adversary-Resistant Deep Neural Networks. - Qinglong Wang 003; Wenbo Guo 002; Kaixuan Zhang 002; Alexander G. Ororbia II; Xinyu Xing 001; C. Lee Giles; Xue Liu 001 (CoRR, 2016)

Random Feature Nullification for Adversary Resistant Deep Architecture. - Qinglong Wang 003; Wenbo Guo 002; Kaixuan Zhang 002; Xinyu Xing 001; C. Lee Giles; Xue Liu 001 (CoRR, 2016)

Adversary Resistant Deep Neural Networks with an Application to Malware Detection. - Qinglong Wang 003; Wenbo Guo 002; Kaixuan Zhang 002; Alexander G. Ororbia II; Xinyu Xing 001; Xue Liu 001; C. Lee Giles (KDD, 2017)

Towards Interrogating Discriminative Machine Learning Models. - Wenbo Guo 002; Kaixuan Zhang 002; Lin Lin 003; Sui Huang; Xinyu Xing 001 (CoRR, 2017)

An Empirical Evaluation of Recurrent Neural Network Rule Extraction. - Qinglong Wang 003; Kaixuan Zhang 002; Alexander G. Ororbia II; Xinyu Xing 001; Xue Liu 001; C. Lee Giles (CoRR, 2017)

Defending Against Adversarial Samples Without Security through Obscurity. - Wenbo Guo 002; Qinglong Wang 003; Kaixuan Zhang 002; Alexander G. Ororbia II; Sui Huang; Xue Liu 001; C. Lee Giles; Lin Lin 003; Xinyu Xing 001 (ICDM, 2018)

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. - Qinglong Wang 003; Kaixuan Zhang 002; Alexander G. Ororbia II; Xinyu Xing 001; Xue Liu 001; C. Lee Giles (CoRR, 2018)

Verification of Recurrent Neural Networks Through Rule Extraction. - Qinglong Wang 003; Kaixuan Zhang 002; Xue Liu 001; C. Lee Giles (CoRR, 2018)

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. - Qinglong Wang 003; Kaixuan Zhang 002; Alexander G. Ororbia II; Xinyu Xing 001; Xue Liu 001; C. Lee Giles (Neural Comput., 2018)

Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata. - Qinglong Wang 003; Kaixuan Zhang 002; Xue Liu 001; C. Lee Giles (CoRR, 2019)

Adversarial Models for Deterministic Finite Automata. - Kaixuan Zhang 002; Qinglong Wang 003; C. Lee Giles (Canadian AI, 2020)

Deep Learning, Grammar Transfer, and Transportation Theory. - Kaixuan Zhang 002; Qinglong Wang 003; C. Lee Giles (ECML/PKDD (2), 2020)

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks. - Kaixuan Zhang 002; Qinglong Wang 003; Xue Liu 001; C. Lee Giles (Neural Comput., 2020)

An Entropy Metric for Regular Grammar Classification and Learning with Recurrent Neural Networks. - Kaixuan Zhang 002; Qinglong Wang 003; C. Lee Giles (Entropy, 2021)