ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing

Multi-Party Sequential Data Publishing Under Differential Privacy

(2023) Peng Tang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Differentially private generative decomposed adversarial network for vertically partitioned data sharing

(2022) Zhenya Wang et al.   INFORMATION SCIENCES

DI-Mondrian: Distributed Improved Mondrian for Satisfaction of the L-diversity Privacy Model Using Apache Spark

(2020) Farough Ashkouti et al.   INFORMATION SCIENCES

An Optimal (∊,δ)-Differentially Private Learning of Distributed Deep Fuzzy Models

(2020) Mohit Kumar et al.   INFORMATION SCIENCES

Differentially private distributed optimization for multi-agent systems via the augmented Lagrangian algorithm

(2020) Yuan-Wei Lv et al.   INFORMATION SCIENCES

Differentially private publication of streaming trajectory data

(2020) Xiaofeng Ding et al.   INFORMATION SCIENCES

SAQE

(2020) Johes Bater et al.   Proceedings of the VLDB Endowment

A privacy-preserving public integrity check scheme for outsourced EHRs

(2020) Yuan Su et al.   INFORMATION SCIENCES

Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

(2020) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System

(2020) Jiahao Ding et al.   IEEE Transactions on Big Data

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

GANobfuscator: Mitigating Information Leakage Under GAN via Differential Privacy

(2019) Chugui Xu et al.   IEEE Transactions on Information Forensics and Security

Locally differentially private item-based collaborative filtering

(2019) Taolin Guo et al.   INFORMATION SCIENCES

The optimal upper bound of the number of queries for Laplace mechanism under differential privacy

(2019) Xiaoguang Li et al.   INFORMATION SCIENCES

Multi-Party High-Dimensional Data Publishing Under Differential Privacy

(2019) Xiang Cheng et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Differentially Private Publication of Vertically Partitioned Data

(2019) Peng Tang et al.   IEEE Transactions on Dependable and Secure Computing

Precise and Fast Cryptanalysis for Bloom Filter Based Privacy-Preserving Record Linkage

(2018) Peter Christen et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation

(2017) Martine De Cock et al.   IEEE Transactions on Dependable and Secure Computing

Collaborative Search Log Sanitization: Toward Differential Privacy and Boosted Utility

(2015) Yuan Hong et al.   IEEE Transactions on Dependable and Secure Computing

Secure Two-Party Differentially Private Data Release for Vertically Partitioned Data

(2013) Noman Mohammed et al.   IEEE Transactions on Dependable and Secure Computing