ProfessorsProfessors of University of ToledoMedha Pujari

Medha Pujari

University of Toledo

H-index: 3

North America-United States

About Medha Pujari

Medha Pujari, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Toledo, specializes in the field of Intrusion Detection Systems, Machine Learning, Contemporary IDS Datasets, Generative Adversarial Networks, Adversarial Algorithm.

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

A Study on Behaviors of Machine Learning-Powered Intrusion Detection Systems under Normal and Adversarial Settings

A comparative study on the impact of adversarial machine learning attacks on contemporary intrusion detection datasets

An approach to improve the robustness of machine learning based intrusion detection system models against the carlini-wagner attack

Vehicle classification, rumble strips detection, and mapping using artificial intelligence

A comparative study on contemporary intrusion detection datasets for machine learning research

Medha Pujari Information

University	University of Toledo
Position	___
Citations(all)	51
Citations(since 2020)	51
Cited By	3
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	University of Toledo
Google Scholar	View Google Scholar Profile

Medha Pujari Skills & Research Interests

Intrusion Detection Systems

Machine Learning

Contemporary IDS Datasets

Generative Adversarial Networks

Adversarial Algorithm

Top articles of Medha Pujari

Title	Journal	Author(s)	Publication Date
A Study on Behaviors of Machine Learning-Powered Intrusion Detection Systems under Normal and Adversarial Settings		Medha Rani Pujari	2023
A comparative study on the impact of adversarial machine learning attacks on contemporary intrusion detection datasets	SN Computer Science	Medha Pujari Yulexis Pacheco Bhanu Cherukuri Weiqing Sun	2022/8/3
An approach to improve the robustness of machine learning based intrusion detection system models against the carlini-wagner attack		Medha Pujari Bhanu Prakash Cherukuri Ahmad Y Javaid Weiqing Sun	2022/7/27
Vehicle classification, rumble strips detection, and mapping using artificial intelligence		Rabin Subedi Pratik Shrestha Medha Pujari Eddie Y Chou	2022
A comparative study on contemporary intrusion detection datasets for machine learning research		Smirti Dwibedi Medha Pujari Weiqing Sun	2020/11/9