World's Best Scientists 2026 revealed!

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Computer Science

D-Index
47
Citations
12629
World Ranking
6352
National Ranking
2836

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to privacy protection in data analytics and access control management
  • 2015 - ACM Distinguished Member
  • 2014 - ACM Senior Member

Overview

Jaideep Vaidya is affiliated with Rutgers, The State University of New Jersey in the United States. Their research is primarily situated within the field of Computer Science, with a focus on Artificial Intelligence, Information Systems, Sociology and Political Science, Computer Networks and Communications, and Genetics.

The main topics of their work include:

  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Access Control and Trust
  • Blockchain Technology Applications and Security
  • Privacy, Security, and Data Protection
  • Security and Verification in Computing
  • Internet Traffic Analysis and Secure E-voting

Notable recent publications by Jaideep Vaidya include:

  • "Location-based Sentiment Analyses and Visualization of Twitter Election Data," 2020, published in Digital Government Research and Practice
  • "Blockchain-Based Shared Data Integrity Auditing and Deduplication," 2023, published in IEEE Transactions on Dependable and Secure Computing
  • "A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing," 2021, published in IEEE Transactions on Knowledge and Data Engineering
  • "Enabling Attribute-Based Access Control in NoSQL Databases," 2022, published in IEEE Transactions on Emerging Topics in Computing
  • "Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies," 2022, published in Proceedings on Privacy Enhancing Technologies

Frequent coauthors in their research efforts include:

  • Vijayalakshmi Atluri (19 publications)
  • Shamik Sural (16 publications)
  • Hafiz Asif (11 publications)
  • Xiaoqian Jiang (8 publications)
  • Erman Ayday (6 publications)

Jaideep Vaidya has contributed extensively to various publication venues, with several papers appearing in:

  • arXiv (Cornell University) - 5 publications
  • IEEE Transactions on Dependable and Secure Computing - 4 publications
  • IEEE Transactions on Emerging Topics in Computing - 3 publications
  • IEEE Transactions on Knowledge and Data Engineering - 3 publications
  • IEEE Spectrum - 3 publications

Their book contributions include four titles published by Springer Science+Business Media, spanning topics such as data security and privacy and artificial intelligence security:

  • Data and Applications Security and Privacy XXXIV (2020)
  • Data and Applications Security and Privacy XXXVI (2022)
  • Artificial Intelligence Security and Privacy (2024, two editions)

Jaideep Vaidya has been recognized with several honors, including being named an IEEE Fellow in 2021 for contributions to privacy protection in data analytics and access control management. Other distinctions include ACM Distinguished Member (2015) and ACM Senior Member (2014).

Best Publications

  • Privacy preserving association rule mining in vertically partitioned data

    Jaideep Vaidya;Chris Clifton

  • Tools for privacy preserving distributed data mining

    Chris Clifton;Murat Kantarcioglu;Jaideep Vaidya;Xiaodong Lin

  • Privacy-preserving k-means clustering over vertically partitioned data

    Jaideep Vaidya;Chris Clifton

  • The role mining problem: finding a minimal descriptive set of roles

    Jaideep Vaidya;Vijayalakshmi Atluri;Qi Guo

  • Privacy preserving data mining

    Jaideep Vaidya

  • Secure set intersection cardinality with application to association rule mining

    Jaideep Vaidya;Chris Clifton

  • Privacy-Preserving SVM classification on vertically partitioned data

    Hwanjo Yu;Jaideep Vaidya;Xiaoqian Jiang

  • Privacy-preserving Naïve Bayes classification

    Jaideep Vaidya;Murat Kantarcıoğlu;Chris Clifton

  • Privacy-preserving data integration and sharing

    Chris Clifton;Murat Kantarcioǧlu;AnHai Doan;Gunther Schadow

  • Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data.

    Jaideep Vaidya;Chris Clifton

  • Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data

    Hwanjo Yu;Xiaoqian Jiang;Jaideep Vaidya

  • Defining Privacy for Data Mining

    Chris Clifton;Murat Kantarcioglu;Jaideep Vaidya

  • RoleMiner: mining roles using subset enumeration

    Jaideep Vaidya;Vijayalakshmi Atluri;Janice Warner

  • Analysis of political discourse on twitter in the context of the 2016 US presidential elections

    Ussama Yaqub;Soon Ae Chun;Vijayalakshmi Atluri;Jaideep Vaidya

  • Privacy-preserving SVM classification

    Jaideep Vaidya;Hwanjo Yu;Xiaoqian Jiang

  • Privacy-preserving data mining: why, how, and when

    J. Vaidya;C. Clifton

  • Semantics-Based Automated Service Discovery

    A. V. Paliwal;B. Shafiq;J. Vaidya;Hui Xiong

  • Optimal Boolean Matrix Decomposition: Application to Role Engineering

    Haibing Lu;J. Vaidya;V. Atluri

  • Privacy-preserving decision trees over vertically partitioned data

    Jaideep Vaidya;Chris Clifton;Murat Kantarcioglu;A. Scott Patterson

  • Privacy-Preserving decision trees over vertically partitioned data

    Jaideep Vaidya;Chris Clifton

Frequent Co-Authors

Vijayalakshmi Atluri
Vijayalakshmi Atluri Rutgers, The State University of New Jersey
Shamik Sural
Shamik Sural Indian Institute of Technology Kharagpur
Chris Clifton
Chris Clifton Purdue University West Lafayette
Xiaoqian Jiang
Xiaoqian Jiang The University of Texas Health Science Center at Houston
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Arun Majumdar
Arun Majumdar Stanford University
Jon Crowcroft
Jon Crowcroft University of Cambridge
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Elisa Bertino
Elisa Bertino Purdue University West Lafayette

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