◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Mehrotra

34 papers hereh-index 5720.2k citations428 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author23
  • last author8

Across the 34 of 34 papers where every author was matched, so the position is known.

fields
  • cs.DB21
  • cs.CR8
  • cs.DC2
  • cs.CL1
  • cs.LG1
  • cs.SI1
same name
  • S. Mehrotra — 4 papers, h 11
  • S. Mehrotra — 2 papers, h 7
  • S. Mehrotra — 1 paper, h 32
  • S. Mehrotra — 1 paper, h 2
  • S. Mehrotra — 1 paper, h 1
  • S. Mehrotra — 1 paper, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092025
most citedLOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

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

collaborators
Showing 2018 · cs.DBShow all

4 papers · 2 filters

cs.DB2018

Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data

Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman +1

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

cs.DB2018

Exploiting Data Sensitivity on Partitioned Data

Sharad Mehrotra, Kerim Yasin Oktay, Shantanu Sharma

Several researchers have proposed solutions for secure data outsourcing on the public clouds based on encryption, secret-sharing, and trusted hardware. Existing approaches, however…

cs.DB2018

PIQUE: Progressive Integrated QUery Operator with Pay-As-You-Go Enrichment

Dhrubajyoti Ghosh, Roberto Yus, Yasser Altowim +1

Big data today in the form of text, images, video, and sensor data needs to be enriched (i.e., annotated with tags) prior to be effectively queried or analyzed. Data enrichment (th…

cs.DB2018★ 12 cited

Privacy-Preserving Secret Shared Computations using MapReduce

Shlomi Dolev, Peeyush Gupta, Yin Li +2

Data outsourcing allows data owners to keep their data at \emph{untrusted} clouds that do not ensure the privacy of data and/or computations. One useful framework for fault-toleran…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.