Taylor T Johnson

Taylor T Johnson

Vanderbilt University

H-index: 32

North America-United States

About Taylor T Johnson

Taylor T Johnson, With an exceptional h-index of 32 and a recent h-index of 29 (since 2020), a distinguished researcher at Vanderbilt University, specializes in the field of formal methods, hybrid systems, formal verification, safe AI, trustworthy AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Formal Logic Enabled Personalized Federated Learning Through Property Inference

A New Hybrid Automaton Framework with Partial Differential Equation Dynamics

Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets

Decentralized Safe Control for Distributed Cyber-Physical Systems using Real-time Reachability Analysis

Ablation study of how run time assurance impacts the training and performance of reinforcement learning agents

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models

Benchmark: formal verification of semantic segmentation neural networks

Evaluation of neural network verification methods for air-to-air collision avoidance

Taylor T Johnson Information

University

Position

Assistant Professor Electrical Engineering and Computer Science (EECS)

Citations(all)

4276

Citations(since 2020)

3569

Cited By

1769

hIndex(all)

32

hIndex(since 2020)

29

i10Index(all)

87

i10Index(since 2020)

68

Email

University Profile Page

Vanderbilt University

Google Scholar

View Google Scholar Profile

Taylor T Johnson Skills & Research Interests

formal methods

hybrid systems

formal verification

safe AI

trustworthy AI

Top articles of Taylor T Johnson

Title

Journal

Author(s)

Publication Date

Formal Logic Enabled Personalized Federated Learning Through Property Inference

arXiv preprint arXiv:2401.07448

Ziyan An

Taylor T Johnson

Meiyi Ma

2024/1/15

A New Hybrid Automaton Framework with Partial Differential Equation Dynamics

arXiv preprint arXiv:2404.11900

Tianshu Bao

Hengrong Du

Weiming Xiang

Taylor T Johnson

2024/4/18

Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets

arXiv preprint arXiv:2404.05703

Preston K Robinette

Diego Manzanas Lopez

Serena Serbinowska

Kevin Leach

Taylor T Johnson

2024/4/8

Decentralized Safe Control for Distributed Cyber-Physical Systems using Real-time Reachability Analysis

IEEE Transactions on Control of Network Systems

Luan Viet Nguyen

Hoang-Dung Tran

Taylor Johnson

Vijay Gupta

2023/1/24

Ablation study of how run time assurance impacts the training and performance of reinforcement learning agents

Nathaniel Hamilton

Kyle Dunlap

Taylor T Johnson

Kerianne L Hobbs

2023

Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models

arXiv preprint arXiv:2310.06951

Preston K Robinette

Daniel Moyer

Taylor T Johnson

2023/10/10

Benchmark: formal verification of semantic segmentation neural networks

Neelanjana Pal

Seojin Lee

Taylor T Johnson

2023/10/23

Evaluation of neural network verification methods for air-to-air collision avoidance

Journal of Air Transportation

Diego Manzanas Lopez

Taylor T Johnson

Stanley Bak

Hoang-Dung Tran

Kerianne L Hobbs

2023/1

NNV 2.0: the neural network verification tool

Diego Manzanas Lopez

Sung Woo Choi

Hoang-Dung Tran

Taylor T Johnson

2023/7/17

SUDS: Sanitizing universal and dependent steganography

Preston K Robinette

Hanchen D Wang

Nishan Shehadeh

Daniel Moyer

Taylor T Johnson

2023/9/23

Track C1: Safety Verification of Deep Neural Networks (DNNs)

Daniel Neider

Taylor T Johnson

2023/10/23

The fourth international verification of neural networks competition (vnn-comp 2023): Summary and results

arXiv preprint arXiv:2312.16760

Christopher Brix

Stanley Bak

Changliu Liu

Taylor T Johnson

2023/12/28

First three years of the international verification of neural networks competition (VNN-COMP)

International Journal on Software Tools for Technology Transfer

Christopher Brix

Mark Niklas Müller

Stanley Bak

Taylor T Johnson

Changliu Liu

2023/6

Tutorial: Neural Network and Autonomous Cyber-Physical Systems Formal Verification for Trustworthy AI and Safe Autonomy

Hoang-Dung Tran

Diego Manzanas Lopez

Taylor Johnson

2023/9/17

Benchmark: neural network malware classification

Preston K Robinette

Diego Manzanas Lopez

Taylor T Johnson

2023/10/23

Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes

arXiv preprint arXiv:2312.16364

Xia Wang

Anda Liang

Jonathan Sprinkle

Taylor T Johnson

2023/12/27

Self-Preserving Genetic Algorithms for Safe Learning in Discrete Action Spaces

Preston K Robinette

Nathaniel P Hamilton

Taylor T Johnson

2023/5/9

Robustness verification of deep neural networks using star-based reachability analysis with variable-length time series input

Neelanjana Pal

Diego Manzanas Lopez

Taylor T Johnson

2023/9/17

Empirical analysis of benchmark generation for the verification of neural network image classifiers

Diego Manzanas Lopez

Taylor T Johnson

2023/10/23

Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach

arXiv preprint arXiv:2311.12130

Neelanjana Pal

Taylor T Johnson

2023/11/16

See List of Professors in Taylor T Johnson University(Vanderbilt University)

Co-Authors

H-index: 35
Sayan Mitra

Sayan Mitra

University of Illinois at Urbana-Champaign

H-index: 30
Stanley Bak

Stanley Bak

Stony Brook University

H-index: 26
Changliu Liu

Changliu Liu

Carnegie Mellon University

H-index: 22
Hoang-Dung Tran

Hoang-Dung Tran

University of Nebraska-Lincoln

H-index: 19
Sergiy Bogomolov

Sergiy Bogomolov

Newcastle University

H-index: 17
Christian Schilling

Christian Schilling

Universität Konstanz

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