14 citations · 26 across the 5 of their papers we have counts for
6 papers
Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta +3
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 belongi…
Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets
Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma +2
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…
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…
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…
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…
IoT Expunge: Implementing Verifiable Retention of IoT Data
Nisha Panwar, Shantanu Sharma, Peeyush Gupta +3
The growing deployment of Internet of Things (IoT) systems aims to ease the daily life of end-users by providing several value-added services. However, IoT systems may capture and…