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Scenario-based adaptations of differential privacy: A technical survey
Differential privacy has been a de facto privacy standard in defining privacy and handling
privacy preservation. It has had great success in scenarios of local data privacy and …
privacy preservation. It has had great success in scenarios of local data privacy and …
Joint distribution analysis for set-valued data with local differential privacy
Set-valued data are commonly used to represent subsets of a universal set and are
frequently utilized in online services, such as online shop** preferences, website …
frequently utilized in online services, such as online shop** preferences, website …
DPBA-WGAN: A vector-valued differential private bilateral alternative scheme on WGAN for image generation
D Wu, W Zhang, P Zhang - IEEE access, 2023 - ieeexplore.ieee.org
The large amount of sensitive personal information used in deep learning models has
attracted considerable attention for privacy security. Sensitive data may be memorialized or …
attracted considerable attention for privacy security. Sensitive data may be memorialized or …
A new global measure to simultaneously evaluate data utility and privacy risk
Measuring data utility and privacy risk embedded in synthetic or other de-identified datasets
is an increasingly important research area. Existing measures in the data privacy literature …
is an increasingly important research area. Existing measures in the data privacy literature …
DPlanner: A privacy budgeting system for utility
Differential mymargin privacy has been deployed to machine learning platforms to preserve
the privacy of data in use. A long neglected but important fact is that data privacy is a non …
the privacy of data in use. A long neglected but important fact is that data privacy is a non …
Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power
A surge in data-driven applications enhances everyday life but also raises serious concerns
about private information leakage. Hence many privacy auditing tools are emerging for …
about private information leakage. Hence many privacy auditing tools are emerging for …
A multimodal differential privacy framework based on fusion representation learning
Differential privacy mechanisms vary in modalities, and there have been many methods
implementing differential privacy on unimodal data. Few studies focus on unifying them to …
implementing differential privacy on unimodal data. Few studies focus on unifying them to …
TLDP: An Algorithm of Local Differential Privacy for Tensors
Y Yuan, X Tang, Y Huang, J Wang - arxiv preprint arxiv:2502.18227, 2025 - arxiv.org
Tensor-valued data, increasingly common in applications like spatiotemporal modeling and
social networks, pose unique challenges for privacy protection due to their multidimensional …
social networks, pose unique challenges for privacy protection due to their multidimensional …
Learning to Prevent Input Leakages in the Mobile Cloud Inference
Powered by machine learning services in the cloud, numerous learning-driven mobile
applications are gaining popularity in the market. As deep learning tasks are mostly …
applications are gaining popularity in the market. As deep learning tasks are mostly …
LN-PCA: Differential Privacy Protection of Medical Data Based on Principal Component Analysis Adding Laplace Noise
It is urgent to implement effective privacy protection for medical data. Considering that most
of the differential privacy protection schemes directly add noise to the original data, the …
of the differential privacy protection schemes directly add noise to the original data, the …