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20092025
most citedLOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

21 citations · 117 across the 32 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.DB2020★ 12 cited

Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data

Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman +2

Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge. This paper continues along with the emerging trend…

cs.DB2020★ 14 cited

Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets

Peeyush Gupta, Sharad Mehrotra, Nisha Panwar +3

Contact tracing has emerged as one of the main mitigation strategies to prevent the spread of pandemics such as COVID-19. Recently, several efforts have been initiated to track ind…

cs.DB2020

Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret-Shared Outsourced Data -- Full Version

Peeyush Gupta, Yin Li, Sharad Mehrotra +3

Despite exciting progress on cryptography, secure and efficient query processing over outsourced data remains an open challenge. We develop a communication-efficient and informatio…

cs.CR2020★ 2 cited

Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes

Nisha Panwar, Shantanu Sharma, Guoxi Wang +2

This paper focuses on the new privacy challenges that arise in smart homes. Specifically, the paper focuses on inferring the user's activities -- which may, in turn, lead to the us…

cs.DB2020★ 21 cited

LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

Yiming Lin, Daokun Jiang, Roberto Yus +4

This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi con…

cs.DB2020★ 1 cited

Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems

Primal Pappachan, Roberto Yus, Sharad Mehrotra +1

Current approaches of enforcing FGAC in Database Management Systems (DBMS) do not scale in scenarios when the number of policies are in the order of thousands. This paper identifie…