A comprehensive survey on local differential privacy
X Xiong, S Liu, D Li, Z Cai, X Niu - Security and Communication …, 2020 - Wiley Online Library
With the advent of the era of big data, privacy issues have been becoming a hot topic in
public. Local differential privacy (LDP) is a state‐of‐the‐art privacy preservation technique …
public. Local differential privacy (LDP) is a state‐of‐the‐art privacy preservation technique …
Random sampling plus fake data: Multidimensional frequency estimates with local differential privacy
With local differential privacy (LDP), users can privatize their data and thus guarantee
privacy properties before transmitting it to the server (aka the aggregator). One primary …
privacy properties before transmitting it to the server (aka the aggregator). One primary …
[HTML][HTML] Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates
This paper investigates the problem of collecting multidimensional data throughout time (ie,
longitudinal studies) for the fundamental task of frequency estimation under Local …
longitudinal studies) for the fundamental task of frequency estimation under Local …
Sarve: synthetic data and local differential privacy for private frequency estimation
The collection of user attributes by service providers is a double-edged sword. They are
instrumental in driving statistical analysis to train more accurate predictive models like …
instrumental in driving statistical analysis to train more accurate predictive models like …
Graph-Based Data Publication via Differentially Structural Inference
P Zhao, Y Mu, Z Yang, J Wu, B Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the rapid development of Internet of Things, a large number of data are collected and
published. Nevertheless, the process of data publication entails the risk of data privacy …
published. Nevertheless, the process of data publication entails the risk of data privacy …
()-Anonymization: privacy-preserving data release based on k-anonymity and differential privacy
Abstract The General Data Protection Regulation came into effect on May 25, 2018, and has
rapidly become a touchstone model for modern privacy law. It empowers consumers with …
rapidly become a touchstone model for modern privacy law. It empowers consumers with …
Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy
With local differential privacy (LDP), users can privatize their data and thus guarantee
privacy properties before transmitting it to the server (aka the aggregator). One primary …
privacy properties before transmitting it to the server (aka the aggregator). One primary …
Production of categorical data verifying differential privacy: conception and applications to machine learning
HH Arcolezi - arXiv preprint arXiv:2204.00850, 2022 - arxiv.org
Private and public organizations regularly collect and analyze digitalized data about their
associates, volunteers, clients, etc. However, because most personal data are sensitive …
associates, volunteers, clients, etc. However, because most personal data are sensitive …