activity
20192021
most citedThe Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

43 citations · 47 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO20212 cited

Stress Testing Autonomous Racing Overtake Maneuvers with RRT

Stanley Bak, Johannes Betz, Abhinav Chawla +2

High-performance autonomy often must operate at the boundaries of safety. When external agents are present in a system, the process of ensuring safety without sacrificing performan…

cs.LO202143 cited

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Stanley Bak, Changliu Liu, Taylor Johnson

This report summarizes the second International Verification of Neural Networks Competition (VNN-COMP 2021), held as a part of the 4th Workshop on Formal Methods for ML-Enabled Aut…

eess.SY2021

Reachability of Black-Box Nonlinear Systems after Koopman Operator Linearization

Stanley Bak, Sergiy Bogomolov, Parasara Sridhar Duggirala +2

Reachability analysis of nonlinear dynamical systems is a challenging and computationally expensive task. Computing the reachable states for linear systems, in contrast, can often…

eess.SY2021

Automatic Dynamic Parallelotope Bundles for Reachability Analysis of Nonlinear Systems

Edward Kim, Stanley Bak, Parasara Sridhar Duggirala

Reachable set computation is an important technique for the verification of safety properties of dynamical systems. In this paper, we investigate reachable set computation for disc…

cs.LG2020

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…

eess.SY20201 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…