most citedUsing Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks

9 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 2 cited

Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata

Qinglong Wang, Kaixuan Zhang, Xue Liu +1

We propose an approach that connects recurrent networks with different orders of hidden interaction with regular grammars of different levels of complexity. We argue that the corre…

cs.LG2019

Shapley Homology: Topological Analysis of Sample Influence for Neural Networks

Kaixuan Zhang, Qinglong Wang, Xue Liu +1

Data samples collected for training machine learning models are typically assumed to be independent and identically distributed (iid). Recent research has demonstrated that this as…

cs.LG2016★ 9 cited

Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks

Qinglong Wang, Wenbo Guo, Alexander G. Ororbia +6

Deep neural networks have proven to be quite effective in a wide variety of machine learning tasks, ranging from improved speech recognition systems to advancing the development of…