28 citations · 67 across the 7 of their papers we have counts for
7 papers
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…
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang, Kaixuan Zhang, Xue Liu +1
The verification problem for neural networks is verifying whether a neural network will suffer from adversarial samples, or approximating the maximal allowed scale of adversarial p…
A Comparative Study of Rule Extraction for Recurrent Neural Networks
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia +3
Understanding recurrent networks through rule extraction has a long history. This has taken on new interests due to the need for interpreting or verifying neural networks. One basi…
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia +3
Rule extraction from black-box models is critical in domains that require model validation before implementation, as can be the case in credit scoring and medical diagnosis. Though…
Learning Adversary-Resistant Deep Neural Networks
Qinglong Wang, Wenbo Guo, Kaixuan Zhang +4
Deep neural networks (DNNs) have proven to be quite effective in a vast array of machine learning tasks, with recent examples in cyber security and autonomous vehicles. Despite the…
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…
Intrusions into Privacy in Video Chat Environments: Attacks and Countermeasures
Xinyu Xing, Jianxun Dang, Richard Han +2
Video chat systems such as Chatroulette have become increasingly popular as a way to meet and converse one-on-one via video and audio with other users online in an open and interac…