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Debolina Ghatak

Assistant Professor Department of Mathematics

Department of Mathematics,
BITS Pilani, K K Birla Goa Campus,

Publications

Journal Papers:

  • Ghatak, D. and Roy, B.K., Estimation of True Quantiles from Quantitative Data Obfuscated with Additive Noise, Journal of Official Statistics, Vol. 34, No. 3, 2018, pp. 1-24, DOI: http://dx.doi.org/10.2478/JOS2018-0032.

  • Ghatak, D. and Roy, B.K., Conditional Masking to Numerical Data, Journal of Statistical Theory and Practise, 2019, DOI 10.1007/s42519-019-0042-y

  • Ghatak, D. and Roy, B.K., An Improved Bound for Security in an Identity Disclosure Problem. International Journal of Statistics and Probability Vol 8, No. 3, 2019, pp. 24-31

Posters Published: 

  • Ghatak, D. and Sakurai, K. and Roy, B.K., Can Data Obfuscation techniques be beneficial for preserving Data Utility unlike Differentially Private Algorithms? IWSEC 2020.

  • Ghatak D. and Sakurai K., On the power and limitation of Laplace noise addition for private synthetic data generation. IWSEC 2022. 


    Other Papers:
  • Ghatak D., Sengupta D and Roy B. Optimal Gamma density to Obfuscate Quantitative data with Added Noise, available at https://arxiv.org/abs/2208.07561

  • Ghatak D., Sakurai K. A Survey on Privacy Preserving Synthetic Data Generation and a Discussion on a Privacy-Utility Trade-off Problem, presented at The 4th International Conference on Science of Cyber Security 2022