Publications

Publications by categories in reversed chronological order.

Work in Progress — click to view ongoing work
▼
Parallel k-Anonymization with Deep Neural Network Evaluation: A Hybrid Framework for Privacy-Utility Optimization ▼
V. Thammanna Gowda, C. Hill, A. Zeng, D. OMalley, G. BautistaSanchez. FMLDS 2026 In Preparation
Runtime Characterization of Sequential and Parallel Nearest-Neighbor Image Resizing: An Empirical Study Across Heterogeneous Consumer Hardware ▼
V. Thammanna Gowda, J. Ruiz, L. Karki. ICCSE 2026. In Preparation
Can Parallel Runtime Behavior Estimate Hardware Parallelism Capacity? A Pilot Study Using Machine Learning and Amdahl Analysis ▼
V. Thammanna Gowda. TBD In Preparation
Toward Universal AI Literacy: A Case for Integrating Artificial Intelligence into General Education Across All Disciplines ▼
V. Thammanna Gowda. TBD In Preparation
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Journal Articles

2026

  1. ASTESJ
    Multi Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes
    V. Thammanna Gowda, L. Humphrey, A. Kadoch, and 2 more authors
    Advances in Science, Technology and Engineering Systems Journal, 2026
    DOI

2023

  1. TDP
    Data Sanitization for t-Closeness over Multiple Numerical Sensitive Attributes
    R. Bagai, E. Weber, and V. Thammanna Gowda
    Transactions on Data Privacy, 2023
    PDF
Conference Papers

2024

  1. FMLDS
    Enhanced Stratified Sampling: A Method for Privacy-Preserving Big Data Publishing
    V. Thammanna Gowda, M. Lee, and V. Campagna
    In IEEE Conference on Future Machine Learning and Data Science (FMLDS), 2024
    DOI

2023

  1. CSP
    Generating t-closed partitions of datasets with multiple sensitive attributes
    V. Thammanna Gowda and R. Bagai
    In Proceedings of the 2023 7th International Conference on Cryptography, Security and Privacy (CSP), 2023
    DOI

2021

  1. IDAACS
    Efficient Near-Optimal t-Closeness With Low Information Loss
    V. Thammanna Gowda, R. Bagai, G. Spilinek, and 1 more author
    In Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021
    DOI

2026

  1. ASTESJ
    Multi Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes
    V. Thammanna Gowda, L. Humphrey, A. Kadoch, and 2 more authors
    Advances in Science, Technology and Engineering Systems Journal, 2026
    DOI

2024

  1. FMLDS
    Enhanced Stratified Sampling: A Method for Privacy-Preserving Big Data Publishing
    V. Thammanna Gowda, M. Lee, and V. Campagna
    In IEEE Conference on Future Machine Learning and Data Science (FMLDS), 2024
    DOI

2023

  1. TDP
    Data Sanitization for t-Closeness over Multiple Numerical Sensitive Attributes
    R. Bagai, E. Weber, and V. Thammanna Gowda
    Transactions on Data Privacy, 2023
    PDF
  2. CSP
    Generating t-closed partitions of datasets with multiple sensitive attributes
    V. Thammanna Gowda and R. Bagai
    In Proceedings of the 2023 7th International Conference on Cryptography, Security and Privacy (CSP), 2023
    DOI

2021

  1. IDAACS
    Efficient Near-Optimal t-Closeness With Low Information Loss
    V. Thammanna Gowda, R. Bagai, G. Spilinek, and 1 more author
    In Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021
    DOI