Dp-cryptography: marrying differential privacy and cryptography in emerging applications
DP-cryptography: marrying differential privacy and cryptography in emerging applications
Page 1 84 COMMUNICATIONS OF THE ACM | FEBRUARY 2021 | VOL. 64 | NO. 2 review …
Page 1 84 COMMUNICATIONS OF THE ACM | FEBRUARY 2021 | VOL. 64 | NO. 2 review …
Helen: Maliciously secure coopetitive learning for linear models
Many organizations wish to collaboratively train machine learning models on their combined
datasets for a common benefit (eg, better medical research, or fraud detection). However …
datasets for a common benefit (eg, better medical research, or fraud detection). However …
Waldo: A private time-series database from function secret sharing
Applications today rely on cloud databases for storing and querying time-series data. While
outsourcing storage is convenient, this data is often sensitive, making data breaches a …
outsourcing storage is convenient, this data is often sensitive, making data breaches a …
Conclave: secure multi-party computation on big data
N Volgushev, M Schwarzkopf, B Getchell… - Proceedings of the …, 2019 - dl.acm.org
Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint
computations without revealing private data. Current MPC algorithms scale poorly with data …
computations without revealing private data. Current MPC algorithms scale poorly with data …
Senate: a {Maliciously-Secure}{MPC} platform for collaborative analytics
Many organizations stand to benefit from pooling their data together in order to draw
mutually beneficial insights—eg, for fraud detection across banks, better medical studies …
mutually beneficial insights—eg, for fraud detection across banks, better medical studies …
HEDA: multi-attribute unbounded aggregation over homomorphically encrypted database
Recent years have witnessed the rapid development of the encrypted database, due to the
increasing number of data privacy breaches and the corresponding laws and regulations …
increasing number of data privacy breaches and the corresponding laws and regulations …
MedCo: Enabling Secure and Privacy-Preserving Exploration of Distributed Clinical and Genomic Data
JL Raisaro, JR Troncoso-Pastoriza… - … ACM transactions on …, 2018 - ieeexplore.ieee.org
The increasing number of health-data breaches is creating a complicated environment for
medical-data sharing and, consequently, for medical progress. Therefore, the development …
medical-data sharing and, consequently, for medical progress. Therefore, the development …
Shrinkwrap: efficient sql query processing in differentially private data federations
A private data federation is a set of autonomous databases that share a unified query
interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its …
interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its …
Saqe: practical privacy-preserving approximate query processing for data federations
A private data federation enables clients to query the union of data from multiple data
providers without revealing any extra private information to the client or any other data …
providers without revealing any extra private information to the client or any other data …
Adore: Differentially oblivious relational database operators
There has been a recent effort in applying differential privacy on memory access patterns to
enhance data privacy. This is called differential obliviousness. Differential obliviousness is a …
enhance data privacy. This is called differential obliviousness. Differential obliviousness is a …