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Collaborative PCA/DCA Learning Methods for Compressive Privacy

https://doi.org/10.1145/2996460
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-2440-0openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/s11042-015-2959-9openalex-snapshot
Discriminant component analysis for privacy protection and visualization of big data
inferredcites →https://doi.org/10.1017/cbo9781139176224openalex-snapshot
Kernel Methods and Machine Learning
inferredcites →https://doi.org/10.1037/h0071325openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1080/00401706.1996.10484565openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1109/ijcnn.2017.7966371openalex-snapshot
A compressive multi-kernel method for privacy-preserving machine learning
inferredcites →https://doi.org/10.1109/mlsp.2016.7738871openalex-snapshot
Discriminant-component eigenfaces for privacy-preserving face recognition
inferredcites →https://doi.org/10.1109/msp.2016.2616720openalex-snapshot
Compressive Privacy: From Information\/Estimation Theory to Machine Learning [Lecture Notes]
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
inferredcites →https://doi.org/10.1111/j.2517-6161.1948.tb00008.xopenalex-snapshot
The Utilization of Multiple Measurements in Problems of Biological Classification
inferredcites →https://doi.org/10.1137/1.9780898718058.ch3openalex-snapshot
3. The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.1137/1.9781611971163openalex-snapshot
The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.2307/1271436openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.jfranklin.2017.07.002openalex-snapshot
A Compressive Privacy approach to Generalized Information Bottleneck and Privacy Funnel problems
inferred← citeshttps://doi.org/10.1016/j.optlaseng.2020.106056openalex-snapshot
Low-complexity privacy preserving scheme based on compressed sensing and non-negative matrix factorization for image data
inferred← citeshttps://doi.org/10.1093/bioinformatics/btad274openalex-snapshot
Privacy preserving identification of population stratification for collaborative genomic research
inferred← citeshttps://doi.org/10.1109/access.2022.3205115openalex-snapshot
A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future Domain Specific Visualization Framework
inferred← citeshttps://doi.org/10.1109/assp54407.2021.00021openalex-snapshot
Research on Security and Privacy Problem in the Data Life Cycle for the IoT Scenario
inferred← citeshttps://doi.org/10.1109/csnt48778.2020.9115771openalex-snapshot
High Dimensional Data Processing in Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.1109/icassp.2018.8461582openalex-snapshot
Low-Complexity Secure Watermark Encryption for Compressed Sensing-Based Privacy Preserving
inferred← citeshttps://doi.org/10.1109/icassp.2018.8462336openalex-snapshot
Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning
inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966371openalex-snapshot
A compressive multi-kernel method for privacy-preserving machine learning
inferred← citeshttps://doi.org/10.1109/lsp.2019.2932915openalex-snapshot
Distributed Differential Utility/Cost Analysis for Privacy Protection
inferred← citeshttps://doi.org/10.1109/mlsp.2017.8168177openalex-snapshot
Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification
inferred← citeshttps://doi.org/10.1109/msp.2016.2616720openalex-snapshot
Compressive Privacy: From Information\/Estimation Theory to Machine Learning [Lecture Notes]
inferred← citeshttps://doi.org/10.1109/mwc.2019.1800351openalex-snapshot
Artificial-Intelligence-Based Data Analytics for Cognitive Communication in Heterogeneous Wireless Networks
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3591904openalex-snapshot
Data-Driven Regularized Inference Privacy
inferred← citeshttps://doi.org/10.1109/tifs.2019.2930366openalex-snapshot
Compressive Privacy for a Linear Dynamical System
inferred← citeshttps://doi.org/10.1109/tifs.2020.2968188openalex-snapshot
Compressive Privacy Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/tifs.2023.3341008openalex-snapshot
The Economics of Privacy and Utility: Investment Strategies
inferred← citeshttps://doi.org/10.1109/tii.2022.3209153openalex-snapshot
Multilevel Privacy Preservation Scheme Based on Compressed Sensing
inferred← citeshttps://doi.org/10.1109/tits.2024.3445163openalex-snapshot
Privacy-Preserving Algorithm for APPs in Vehicle Intelligent Terminal System: A Compressive Method
inferred← citeshttps://doi.org/10.1109/tpami.2026.3654093openalex-snapshot
BlindU: Blind Machine Unlearning Without Revealing Erasing Data
inferred← citeshttps://doi.org/10.1177/14759217251379562openalex-snapshot
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling
inferred← citeshttps://doi.org/10.18486/ijcsnt/8.2.104openalex-snapshot
Privacy Preserving Data Mining Technique - Issues and Challenges
inferred← citeshttps://doi.org/10.2196/29871openalex-snapshot
Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
inferred← citeshttps://doi.org/10.32657/10356/152965openalex-snapshot
Privacy preservation for linear and learning based inference systems
inferred← citeshttps://doi.org/10.32657/10356/153057openalex-snapshot
Privacy preservation for linear and learning based inference systems
inferred← citeshttps://doi.org/10.3389/fneur.2019.00904openalex-snapshot
Identification of the Early Stage of Alzheimer's Disease Using Structural MRI and Resting-State fMRI
inferred← citeshttps://doi.org/10.48550/arxiv.1702.07976openalex-snapshot
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection
inferred← citeshttps://doi.org/10.48550/arxiv.1707.07770openalex-snapshot
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2106.10671openalex-snapshot
A compressive multi-kernel method for privacy-preserving machine learning
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