Search Results for author: Peeyush Gupta

Found 5 papers, 0 papers with code

Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases

no code implementations7 Apr 2021 Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma

This paper proposes Prism, a secret sharing based approach to compute private set operations (i. e., intersection and union), as well as aggregates over outsourced databases belonging to multiple owners.

Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets

no code implementations10 Feb 2021 Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang

This paper proposes a system, entitled Concealer that allows sharing time-varying spatial data (e. g., as produced by sensors) in encrypted form to an untrusted third-party service provider to provide location-based applications (involving aggregation queries over selected regions over time windows) to users.

Time Series

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

no code implementations13 May 2020 Sharad Mehrotra, Shantanu Sharma, Jeffrey D. Ullman, Dhrubajyoti Ghosh, Peeyush Gupta

We, first, provide a new security definition, entitled partitioned data security for guaranteeing that the joint processing of non-sensitive data (in cleartext) and sensitive data (in encrypted form) does not lead to any leakage.

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

no code implementations5 May 2020 Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma, Nalini Venkatasubramanian, Guoxi Wang

In this paper, we introduce Quest, a system that empowers organizations to observe individuals and spaces to implement policies for social distancing and contact tracing using WiFi connectivity data in a passive and privacy-preserving manner.

Privacy Preserving

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