108 citations · 238 across the 19 of their papers we have counts for
10 papers · 1 filter
CryptDough: A Unified Analytics Engine for Secure Multiparty Computation
Muhammad Faisal, Alessandra Lanz, Sam Buxbaum +4
We present CryptDough, a unified analytics engine for secure multiparty computation (MPC). CryptDough enables multiple distrusting parties to jointly execute a data analysis pipeli…
Making Sense of Private Advertising: A Principled Approach to a Complex Ecosystem
Kyle Hogan, Alishah Chator, Gabriel Kaptchuk +2
In this work, we model the end-to-end pipeline of the advertising ecosystem, allowing us to identify two main issues with the current trajectory of private advertising proposals. F…
ORQ: Complex Analytics on Private Data with Strong Security Guarantees
Eli Baum, Sam Buxbaum, Nitin Mathai +4
We present ORQ, a system that enables collaborative analysis of large private datasets using cryptographically secure multi-party computation (MPC). ORQ protects data against semi-…
Secret Sharing MPC on FPGAs in the Datacenter
Pierre-Francois Wolfe, Rushi Patel, Robert Munafo +2
Multi-Party Computation (MPC) is a technique enabling data from several sources to be used in a secure computation revealing only the result while protecting the original data, fac…
Conclave: secure multi-party computation on big data (extended TR)
Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell +3
Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint computations without revealing private data. Current MPC algorithms scale poorly with data siz…
Revealing the Unseen: How to Expose Cloud Usage While Protecting User Privacy
Ata Turk, Mayank Varia, Georgios Kellaris
Cloud users have little visibility into the performance characteristics and utilization of the physical machines underpinning the virtualized cloud resources they use. This uncerta…
SoK: Cryptographically Protected Database Search
Benjamin Fuller, Mayank Varia, Arkady Yerukhimovich +6
Protected database search systems cryptographically isolate the roles of reading from, writing to, and administering the database. This separation limits unnecessary administrator…
Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics
Jeremy Kepner, Vijay Gadepally, Braden Hancock +3
The increasing use of networked sensor systems and networked databases has led to an increased interest in incorporating encryption directly into sensor algorithms and database ana…
Computing on Masked Data to improve the Security of Big Data
Vijay Gadepally, Braden Hancock, Benjamin Kaiser +4
Organizations that make use of large quantities of information require the ability to store and process data from central locations so that the product can be shared or distributed…
Computing on Masked Data: a High Performance Method for Improving Big Data Veracity
Jeremy Kepner, Vijay Gadepally, Pete Michaleas +4
The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety. Along with these standard three V's of…