Dhrubajyoti Ghosh

According to our database1, Dhrubajyoti Ghosh authored at least 16 papers between 2014 and 2023.

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Bibliography

2023
Prism: Private Set Intersection and Union with Aggregation over Multi-Owner Outsourced Data.
IACR Cryptol. ePrint Arch., 2023

Supporting Complex Query Time Enrichment For Analytics.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022
A Case for Enrichment in Data Management Systems.
SIGMOD Rec., 2022

JENNER: Just-in-time Enrichment in Query Processing.
Proc. VLDB Endow., 2022

MIDE: Accuracy Aware Minimally Invasive Data Exploration For Decision Support.
Proc. VLDB Endow., 2022

2021
Supporting Progressive Query Processing and Scalable Data Enrichment for Real time Analytic Applications.
PhD thesis, 2021

PRISM: Private Verifiable Set Computation over Multi-Owner Outsourced Databases.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
PANDA: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data.
ACM Trans. Manag. Inf. Syst., 2020

Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data.
CoRR, 2020

A privacy-enabled platform for COVID-19 applications: poster abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

IoT Expunge: Implementing Verifiable Retention of IoT Data.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

2019
SemIoTic: Bridging the Semantic Gap in IoT Spaces.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

SCARF: a scalable data management framework for context-aware applications in smart environments.
Proceedings of the MobiQuitous 2019, 2019

2018
Progressive Evaluation of Queries over Untagged Data.
CoRR, 2018

2016
Message of interest: A framework of location-aware messaging for an indoor environment.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2014
A comparative study of different discretizations for solving bivariate aggregation population balance equation.
Appl. Math. Comput., 2014


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