Machine learning and deep learning models for privacy management and data analysis in smart cites

T Bhowmik, A Bhadwaj, A Kumar… - Recent Advances in …, 2022 - Springer
The smart city is a philosophy, that is established to manage the growing population, fulfil all
the basic daily requirements of the citizens, maintain a green and healthy environment …

Advances in Differential Privacy and Differentially Private Machine Learning

S Das, S Mishra - Information Technology Security: Modern Trends and …, 2024 - Springer
There has been an explosion of research on differential privacy (DP) and its various
applications in recent years, ranging from novel variants and accounting techniques in …

Privacy Preserving Data Analysis with the Encode, Shuffle, Analyse Architecture in Vehicular Data Sharing

S Löbner, C Gartner, F Tronnier - Proceedings of the 2023 European …, 2023 - dl.acm.org
In recent years, vehicles have become smarter, with more data being collected and
analyzed. With further digitalisation, the importance of data within and around vehicles is …

Learning with differential privacy

P Sengupta, S Paul, S Mishra - … of Research on Cyber Crime and …, 2021 - igi-global.com
The leakage of data might have an extreme effect on the personal level if it contains
sensitive information. Common prevention methods like encryption-decryption, endpoint …

BUDS+: Better Privacy with Converger and Noisy Shuffling

P Sengupta, S Paul, S Mishra - Digital Threats: Research and Practice, 2023 - dl.acm.org
Advancements in machine learning and data science deal with the collection of a
tremendous amount of data for research and analysis, following which there is a growing …

Fairly Private Through Group Tagging and Relation Impact

P Sengupta, S Mishra - Modeling Decisions for Artificial Intelligence: 18th …, 2021 - Springer
Privacy and Fairness both are very important nowadays. For most of the cases in the online
service providing system, users have to share their personal information with the …