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20122023
most citedVerification for Machine Learning, Autonomy, and Neural Networks Survey

91 citations · 426 across the 30 of their papers we have counts for

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7 papers · 1 filter

eess.SY2020★ 4 cited

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…

eess.SY2020★ 1 cited

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…

eess.SY2018

Cyber-Physical Specification Mismatches

Luan V. Nguyen, Khaza Anuarul Hoque, Stanley Bak +2

Embedded systems use increasingly complex software and are evolving into cyber-physical systems (CPS) with sophisticated interaction and coupling between physical and computational…

eess.SY2018★ 42 cited

Reachability Analysis and Safety Verification for Neural Network Control Systems

Weiming Xiang, Taylor T. Johnson

Autonomous cyber-physical systems (CPS) rely on the correct operation of numerous components, with state-of-the-art methods relying on machine learning (ML) and artificial intellig…

eess.SY2018★ 9 cited

Reachable Set Estimation and Safety Verification for Piecewise Linear Systems with Neural Network Controllers

Weiming Xiang, Hoang-Dung Tran, Joel A. Rosenfeld +1

In this work, the reachable set estimation and safety verification problems for a class of piecewise linear systems equipped with neural network controllers are addressed. The neur…

eess.SY2018★ 1 cited

Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems

Weiming Xiang, Diego Manzanas Lopez, Patrick Musau +1

Neural networks have been widely used to solve complex real-world problems. Due to the complicate, nonlinear, non-convex nature of neural networks, formal safety guarantees for the…

eess.SY2016★ 1 cited

Order-Reduction Abstractions for Safety Verification of High-Dimensional Linear Systems

Hoang-Dung Tran, Luan Viet Nguyen, Weiming Xiang +1

Order-reduction is a standard automated approximation technique for computer-aided design, analysis, and simulation of many classes of systems, from circuits to buildings. For a gi…