Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Privacy-Preserving Distributed Linear Regression on High-Dimensional Data
Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis
Distributed differential privacy and applications
Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning
Differentially Private Empirical Risk Minimization
A Condensation Approach to Privacy Preserving Data Mining
Data mining with differential privacy
Differentially Private Publication of Sparse Data
Differential Privacy Preserving Spectral Graph Analysis
Differentially Private Data Release through Multidimensional Partitioning
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Secure multiparty computation for privacy preserving data mining
Differentially Private Stochastic Gradient Descent for in-RDBMS Analytics
Differentially private data analysis of social networks via restricted sensitivity
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
A Practical Approach to Differential Private Learning
Securing Fast Learning! Ridge Regression over Encrypted Big Data
Local differential privacy for physical sensor data and sparse recovery
Improved Accounting for Differentially Private Learning.
Improving content marketing processes with the approaches by artificial intelligence
Precise Indoor Positioning Using UWB: A Review of Methods, Algorithms and Implementations
Instability of default mode network connectivity in major depression: a two-sample confirmation study
Can homomorphic encryption be practical?
Specialized Support Vector Machines for Open-set Recognition