70 citations · 85 across the 4 of their papers we have counts for
7 papers
Verification of Deep Convolutional Neural Networks Using ImageStars
Hoang-Dung Tran, Stanley Bak, Weiming Xiang +1
Convolutional Neural Networks (CNN) have redefined the state-of-the-art in many real-world applications, such as facial recognition, image classification, human pose estimation, an…
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
Weiming Xiang, Hoang-Dung Tran, Xiaodong Yang +1
The vulnerability of artificial intelligence (AI) and machine learning (ML) against adversarial disturbances and attacks significantly restricts their applicability in safety-criti…
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems
Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez +5
This paper presents the Neural Network Verification (NNV) software tool, a set-based verification framework for deep neural networks (DNNs) and learning-enabled cyber-physical syst…
Real-Time Verification for Distributed Cyber-Physical Systems
Hoang-Dung Tran, Luan Viet Nguyen, Patrick Musau +2
Safety-critical distributed cyber-physical systems (CPSs) have been found in a wide range of applications. Notably, they have displayed a great deal of utility in intelligent trans…
Specification-Guided Safety Verification for Feedforward Neural Networks
Weiming Xiang, Hoang-Dung Tran, Taylor T. Johnson
This paper presents a specification-guided safety verification method for feedforward neural networks with general activation functions. As such feedforward networks are memoryless…
Verification for Machine Learning, Autonomy, and Neural Networks Survey
Weiming Xiang, Patrick Musau, Ayana A. Wild +5
This survey presents an overview of verification techniques for autonomous systems, with a focus on safety-critical autonomous cyber-physical systems (CPS) and subcomponents thereo…