UB Paderborn / Katalog / Suche / in CDI

Applications of Differential Privacy in Social Network Analysis: A Survey

IEEE transactions on knowledge and data engineering, 2023-01, Vol.35 (1), p.108-127

2023

Volltextzugriff (PDF)

DEAL: Differentially Private Auction for Blockchain-Based Microgrids Energy Trading

IEEE transactions on services computing, 2020-03, Vol.13 (2), p.263-275

2020

Volltextzugriff (PDF)

Privacy at Scale: Local Differential Privacy in Practice

Proceedings of the 2018 International Conference on Management of Data, 2018, p.1655-1658

2018

Volltextzugriff (PDF)

Privacy Profiles and Amplification by Subsampling

The journal of privacy and confidentiality, 2020, Vol.10 (1)

2020

Volltextzugriff (PDF)

Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL)

IEEE transactions on information theory, 2024-06, Vol.70 (6), p.4368-4395

2024

Volltextzugriff (PDF)

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems

IEEE transactions on information theory, 2024-08, Vol.70 (8), p.5731-5762

2024

Volltextzugriff (PDF)

LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy

IEEE transactions on knowledge and data engineering, 2022-10, Vol.34 (10), p.4905-4920

2022

Volltextzugriff (PDF)

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, p.638-649

2019

Volltextzugriff (PDF)

Local Differential Privacy-Based Federated Learning for Internet of Things

IEEE internet of things journal, 2021-06, Vol.8 (11), p.8836-8853

2021

Volltextzugriff (PDF)

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

IEEE internet of things journal, 2021-02, Vol.8 (3), p.1817-1829

2021

Volltextzugriff (PDF)

Differentially Private Model Publishing for Deep Learning

2019 IEEE Symposium on Security and Privacy (SP), 2019, p.332-349

2019

Volltextzugriff (PDF)

Discrete Offset-Symmetric Gaussians for Differential Privacy

IEEE signal processing letters, 2024-07, Vol.31, p.1-5

2024

Volltextzugriff (PDF)

On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks

IEEE transactions on information forensics and security, 2020, Vol.15, p.852-866

2020

Volltextzugriff (PDF)

Local Differential Privacy for Deep Learning

IEEE internet of things journal, 2020-07, Vol.7 (7), p.5827-5842

2020

Volltextzugriff (PDF)

Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means

Computers & security, 2024-09, Vol.144, p.103983, Article 103983

2024

Volltextzugriff (PDF)

Differentially Private Consensus for Multi-Agent Systems Under Switching Topology

IEEE transactions on circuits and systems. II, Express briefs, 2023-09, Vol.70 (9), p.3499-3503

2023

Volltextzugriff (PDF)

Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy

IEEE transactions on information forensics and security, 2024, Vol.19, p.7106-7117

2024

Volltextzugriff (PDF)

A Real-Time Data Collection Mechanism With Trajectory Privacy in Mobile Crowd-Sensing

IEEE communications letters, 2020-10, Vol.24 (10), p.2114-2118

2020

Volltextzugriff (PDF)

Manipulation Attacks in Local Differential Privacy

2021 IEEE Symposium on Security and Privacy (SP), 2021, p.883-900

2021

Volltextzugriff (PDF)

Edge-Protected Triangle Count Estimation under Relationship Local Differential Privacy

IEEE transactions on knowledge and data engineering, 2024, p.1-14

2024

Volltextzugriff (PDF)

LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.3948-3962

2024

Volltextzugriff (PDF)

Locally Differentially Private Heavy Hitter Identification

IEEE transactions on dependable and secure computing, 2021-03, Vol.18 (2), p.982-993

2021

Volltextzugriff (PDF)

Consensus of Linear Multivariable Discrete-Time Multiagent Systems: Differential Privacy Perspective

IEEE transactions on cybernetics, 2022-12, Vol.52 (12), p.13915-13926

2022

Volltextzugriff (PDF)

Efficient federated learning privacy preservation method with heterogeneous differential privacy

Computers & security, 2024-04, Vol.139, p.103715, Article 103715

2024

Volltextzugriff (PDF)

Is Interaction Necessary for Distributed Private Learning?

2017 IEEE Symposium on Security and Privacy (SP), 2017, p.58-77

2017

Volltextzugriff (PDF)

Menü

Weitere Dienste

Einstellungen

Applications of Differential Privacy in Social Network Analysis: A Survey

DEAL: Differentially Private Auction for Blockchain-Based Microgrids Energy Trading

Privacy at Scale: Local Differential Privacy in Practice

Privacy Profiles and Amplification by Subsampling

Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL)

Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems

LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

Local Differential Privacy-Based Federated Learning for Internet of Things

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

Differentially Private Model Publishing for Deep Learning

Discrete Offset-Symmetric Gaussians for Differential Privacy

On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks

Local Differential Privacy for Deep Learning

Privacy in manifolds: Combining k-anonymity with differential privacy on Fréchet means

Differentially Private Consensus for Multi-Agent Systems Under Switching Topology

Joint Distribution Analysis for Set-Valued Data With Local Differential Privacy

A Real-Time Data Collection Mechanism With Trajectory Privacy in Mobile Crowd-Sensing

Manipulation Attacks in Local Differential Privacy

Edge-Protected Triangle Count Estimation under Relationship Local Differential Privacy

LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space

Locally Differentially Private Heavy Hitter Identification

Consensus of Linear Multivariable Discrete-Time Multiagent Systems: Differential Privacy Perspective

Efficient federated learning privacy preservation method with heterogeneous differential privacy

Is Interaction Necessary for Distributed Private Learning?

Suchergebnisse filtern