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Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11731139_74openalex-snapshot
Privacy-Preserving SVM Classification on Vertically Partitioned Data
inferredcites →https://doi.org/10.1007/11745853_30openalex-snapshot
Efficiency Tradeoffs for Malicious Two-Party Computation
inferredcites →https://doi.org/10.1007/3-540-44586-2_9openalex-snapshot
A Generalisation, a Simplification and Some Applications of Paillier's Probabilistic Public-Key System
inferredcites →https://doi.org/10.1007/3-540-44598-6_3openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/3-540-46766-1_9openalex-snapshot
Non-Interactive and Information-Theoretic Secure Verifiable Secret Sharing
inferredcites →https://doi.org/10.1007/3-540-47721-7_12openalex-snapshot
How To Prove Yourself: Practical Solutions to Identification and Signature Problems
inferredcites →https://doi.org/10.1007/3-540-48329-2_26openalex-snapshot
Untraceable Off-line Cash in Wallet with Observers
inferredcites →https://doi.org/10.1007/3-540-48658-5_19openalex-snapshot
Proofs of Partial Knowledge and Simplified Design of Witness Hiding Protocols
inferredcites →https://doi.org/10.1007/3-540-48910-x_16openalex-snapshot
Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
inferredcites →https://doi.org/10.1007/3-540-48910-x_8openalex-snapshot
Proving in Zero-Knowledge that a Number is the Product of Two Safe Primes
inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1007/978-0-387-29489-6openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-1-4757-0602-4_19openalex-snapshot
A Randomized Protocol for Signing Contracts
inferredcites →https://doi.org/10.1007/978-1-4899-7687-1_100375openalex-snapshot
Privacy-Preserving Data Mining
inferredcites →https://doi.org/10.1007/978-1-84996-338-1_6openalex-snapshot
Privacy-preserving Data Mining
inferredcites →https://doi.org/10.1007/978-3-540-45146-4_9openalex-snapshot
Extending Oblivious Transfers Efficiently
inferredcites →https://doi.org/10.1007/978-3-540-70583-3_40openalex-snapshot
Improved Garbled Circuit: Free XOR Gates and Applications
inferredcites →https://doi.org/10.1007/978-3-540-85855-3_2openalex-snapshot
Implementing Two-Party Computation Efficiently with Security Against Malicious Adversaries
inferredcites →https://doi.org/10.1007/978-3-642-10366-7_15openalex-snapshot
Secure Two-Party Computation Is Practical
inferredcites →https://doi.org/10.1007/978-3-642-10433-6_1openalex-snapshot
Improved Garbled Circuit Building Blocks and Applications to Auctions and Computing Minima
inferredcites →https://doi.org/10.1007/978-3-642-14423-3_16openalex-snapshot
Efficient Privacy-Preserving Face Recognition
inferredcites →https://doi.org/10.1007/978-3-642-14623-7_25openalex-snapshot
Non-interactive Verifiable Computing: Outsourcing Computation to Untrusted Workers
inferredcites →https://doi.org/10.1007/978-3-642-37682-5_1openalex-snapshot
ML Confidential: Machine Learning on Encrypted Data
inferredcites →https://doi.org/10.1007/s00145-001-0019-2openalex-snapshot
Privacy Preserving Data Mining
inferredcites →https://doi.org/10.1007/s00145-008-9036-8openalex-snapshot
A Proof of Security of Yao’s Protocol for Two-Party Computation
inferredcites →https://doi.org/10.1007/s00145-009-9040-7openalex-snapshot
Security Against Covert Adversaries: Efficient Protocols for Realistic Adversaries
inferredcites →https://doi.org/10.1016/0016-0032(64)90390-4openalex-snapshot
Rounding errors in algebraic processes
inferredcites →https://doi.org/10.1109/compsac.2011.46openalex-snapshot
L1 - An Intermediate Language for Mixed-Protocol Secure Computation
inferredcites →https://doi.org/10.1109/csfw.2001.930152openalex-snapshot
Privacy-preserving cooperative scientific computations
inferredcites →https://doi.org/10.1109/secpri.2002.1004361openalex-snapshot
Collaborative filtering with privacy
inferredcites →https://doi.org/10.1109/sfcs.1986.25openalex-snapshot
How to generate and exchange secrets
inferredcites →https://doi.org/10.1109/sp.2012.43openalex-snapshot
Quid-Pro-Quo-tocols: Strengthening Semi-honest Protocols with Dual Execution
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1137/1.9781611972740.21openalex-snapshot
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
inferredcites →https://doi.org/10.1145/1014052.1014139openalex-snapshot
Privacy preserving regression modelling via distributed computation
inferredcites →https://doi.org/10.1145/129712.129780openalex-snapshot
Communication complexity of secure computation (extended abstract)
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/1536414.1536466openalex-snapshot
Differential privacy and robust statistics
inferredcites →https://doi.org/10.1145/1557019.1557090openalex-snapshot
Differentially private recommender systems
inferredcites →https://doi.org/10.1145/1568318.1568324openalex-snapshot
On lattices, learning with errors, random linear codes, and cryptography
inferredcites →https://doi.org/10.1145/2046660.2046682openalex-snapshot
Can homomorphic encryption be practical?
inferredcites →https://doi.org/10.1145/336992.337028openalex-snapshot
Privacy preserving auctions and mechanism design
inferredcites →https://doi.org/10.1145/62212.62213openalex-snapshot
Completeness theorems for non-cryptographic fault-tolerant distributed computation
inferredcites →https://doi.org/10.1147/rd.446.0823openalex-snapshot
Minimal-storage high-performance Cholesky factorization via blocking and recursion
inferredcites →https://doi.org/10.1198/004017007000000209openalex-snapshot
Secure, Privacy-Preserving Analysis of Distributed Databases
inferredcites →https://doi.org/10.1198/106186005x47714openalex-snapshot
Secure Regression on Distributed Databases
inferredcites →https://doi.org/10.18130/v3hj5copenalex-snapshot
Faster Secure Two-Party Computation Using Garbled Circuits
inferredcites →https://doi.org/10.2307/1269484openalex-snapshot
Numerical Recipes: The Art of Scientific Computing
inferredcites →https://doi.org/10.2307/2002959openalex-snapshot
Rounding Errors in Algebraic Processes
inferredcites →https://doi.org/10.7146/brics.v7i45.20212openalex-snapshot
A Generalisation, a Simplification and some Applications of Paillier’s Probabilistic Public-Key System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4724820openalex-extracted
Homomorphic Encrypted Revenue Management
inferred← citeshttps://doi.org/10.1007/978-3-030-00009-7_45openalex-snapshot
A Privacy-Preserving Classifier in Statistic Pattern Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-03101-5_16openalex-snapshot
Recognition Over Encrypted Faces
inferred← citeshttps://doi.org/10.1007/978-3-030-24202-2_8openalex-snapshot
Medical Diagnostics Based on Encrypted Medical Data
inferred← citeshttps://doi.org/10.1007/978-3-030-29959-0_2openalex-snapshot
Towards Secure and Efficient Outsourcing of Machine Learning Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-29959-0_3openalex-snapshot
Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data
inferred← citeshttps://doi.org/10.1007/978-3-030-29962-0_21openalex-snapshot
Privacy-Preserving Collaborative Medical Time Series Analysis Based on Dynamic Time Warping
inferred← citeshttps://doi.org/10.1007/978-3-030-30619-9_26openalex-snapshot
Secure and Fast Decision Tree Evaluation on Outsourced Cloud Data
inferred← citeshttps://doi.org/10.1007/978-3-030-36938-5_21openalex-snapshot
Privacy Preserving Machine Learning with Limited Information Leakage
inferred← citeshttps://doi.org/10.1007/978-3-030-37352-8_31openalex-snapshot
Efficient Privacy Preserving Cross-Datasets Collaborative Outlier Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-49785-9_10openalex-snapshot
SecureMCMR: Computation Outsourcing for MapReduce Applications
inferred← citeshttps://doi.org/10.1007/978-3-030-53187-4_20openalex-snapshot
Secure Linear Regression Algorithms: A Comparison
inferred← citeshttps://doi.org/10.1007/978-3-030-55304-3_16openalex-snapshot
SHOSVD: Secure Outsourcing of High-Order Singular Value Decomposition
inferred← citeshttps://doi.org/10.1007/978-3-030-57808-4_20openalex-snapshot
A Practical Approach to the Secure Computation of the Moore–Penrose Pseudoinverse over the Rationals
inferred← citeshttps://doi.org/10.1007/978-3-030-60239-0_9openalex-snapshot
Outsourced Privacy-Preserving Reduced SVM Among Multiple Institutions
inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_28openalex-snapshot
Vertical Federated Learning for Higher-Order Factorization Machines
inferred← citeshttps://doi.org/10.1007/978-3-030-78086-9_23openalex-snapshot
Efficient Secure Ridge Regression from Randomized Gaussian Elimination
inferred← citeshttps://doi.org/10.1007/978-3-030-78086-9_3openalex-snapshot
Privacy-Preserving Coupling of Vertically-Partitioned Databases and Subsequent Training with Gradient Descent
inferred← citeshttps://doi.org/10.1007/978-3-030-90567-5_25openalex-snapshot
ALRS: An Adversarial Noise Based Privacy-Preserving Data Sharing Mechanism
inferred← citeshttps://doi.org/10.1007/978-3-030-96791-8_20openalex-snapshot
FL-DP: Differential Private Federated Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-030-96896-0_1openalex-snapshot
Introduction to Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-96896-0_13openalex-snapshot
Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose?
inferred← citeshttps://doi.org/10.1007/978-3-031-06761-7_52openalex-snapshot
Privacy-Preserving Neural Networks with Decentralized Multi-client Functional Encryption
inferred← citeshttps://doi.org/10.1007/978-3-031-11748-0_7openalex-snapshot
A Study of Blockchain-Based Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-20917-8_13openalex-snapshot
Practical Federated Learning for Samples with Different IDs
inferred← citeshttps://doi.org/10.1007/978-3-031-37586-6_18openalex-snapshot
An Autoencoder-Based Image Anonymization Scheme for Privacy Enhanced Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-45275-8_25openalex-snapshot
Privacy-Preserving Learning of Random Forests Without Revealing the Trees
inferred← citeshttps://doi.org/10.1007/978-3-031-45933-7_20openalex-snapshot
SVFL: Secure Vertical Federated Learning on Linear Models
inferred← citeshttps://doi.org/10.1007/978-3-031-47590-0_10openalex-snapshot
Federated Learning for Market Surveillance
inferred← citeshttps://doi.org/10.1007/978-3-031-48781-1_11openalex-snapshot
Role of Federated Learning for Internet of Vehicles: A Systematic Review
inferred← citeshttps://doi.org/10.1007/978-3-031-49099-6_11openalex-snapshot
A Cycle-GAN Based Image Encoding Scheme for Privacy Enhanced Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-54776-8_13openalex-snapshot
Time Is Money, Friend! Timing Side-Channel Attack Against Garbled Circuit Constructions
inferred← citeshttps://doi.org/10.1007/978-3-031-57978-3_20openalex-snapshot
Private Training Approaches - A Primer
inferred← citeshttps://doi.org/10.1007/978-3-031-61037-0_4openalex-snapshot
Fully Homomorphic Encrypted Wavelet Neural Network for Privacy-Preserving Bankruptcy Prediction in Banks
inferred← citeshttps://doi.org/10.1007/978-3-031-70890-9_18openalex-snapshot
BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection
inferred← citeshttps://doi.org/10.1007/978-3-031-95764-2_9openalex-snapshot
Privately Compute the Item with Maximal Weight Sum in Set Intersection
inferred← citeshttps://doi.org/10.1007/978-3-032-10759-6_10openalex-snapshot
Privacy-Preserving Machine Learning on Web Browsing for Public Opinion
inferred← citeshttps://doi.org/10.1007/978-3-032-13714-2_24openalex-snapshot
SoK: Evaluation of Methods for Privacy Preserving Edge Video Analytics
inferred← citeshttps://doi.org/10.1007/978-3-032-38695-3_13openalex-snapshot
TRIP: Thresholding in Regression with Input Privacy
inferred← citeshttps://doi.org/10.1007/978-3-319-25255-1_64openalex-snapshot
A Secure and Efficient Framework for Privacy Preserving Social Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-26059-4_20openalex-snapshot
Efficient Unconditionally Secure Comparison and Privacy Preserving Machine Learning Classification Protocols
inferred← citeshttps://doi.org/10.1007/978-3-319-66402-6_8openalex-snapshot
Server-Aided Secure Computation with Off-line Parties
inferred← citeshttps://doi.org/10.1007/978-3-319-70697-9_19openalex-snapshot
JIMU: Faster LEGO-Based Secure Computation Using Additive Homomorphic Hashes
inferred← citeshttps://doi.org/10.1007/978-3-319-70972-7_5openalex-snapshot
SecGDB: Graph Encryption for Exact Shortest Distance Queries with Efficient Updates
inferred← citeshttps://doi.org/10.1007/978-3-319-78372-7_6openalex-snapshot
Overdrive: Making SPDZ Great Again
inferred← citeshttps://doi.org/10.1007/978-3-319-93387-0_13openalex-snapshot
Privacy-Preserving Ridge Regression with only Linearly-Homomorphic Encryption
inferred← citeshttps://doi.org/10.1007/978-3-319-93563-8_10openalex-snapshot
Model Parameter Estimation and Inference on Encrypted Domain: Application to Noise Reduction in Encrypted Images
inferred← citeshttps://doi.org/10.1007/978-3-319-95729-6_16openalex-snapshot
Private yet Efficient Decision Tree Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-662-58387-6_10openalex-snapshot
High-Precision Privacy-Preserving Real-Valued Function Evaluation
inferred← citeshttps://doi.org/10.1007/978-981-10-2738-3_17openalex-snapshot
Elliptic Curve Based Secure Outsourced Computation in Multi-party Cloud Environment
inferred← citeshttps://doi.org/10.1007/978-981-15-5939-6_4openalex-snapshot
Secure Homogeneous Data Sharing Using Blockchain
inferred← citeshttps://doi.org/10.1007/978-981-15-5939-6_5openalex-snapshot
Secure Heterogeneous Data Sharing Using Blockchain
inferred← citeshttps://doi.org/10.1007/978-981-16-6186-0_8openalex-snapshot
Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT
inferred← citeshttps://doi.org/10.1007/978-981-95-6817-8_33openalex-snapshot
Towards Practical Privacy-Preserving AI: Applications of Fully Homomorphic Encryption in Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-97-3242-5_40openalex-snapshot
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1007/978-981-97-6222-4_2openalex-snapshot
An Empirical Study on Security Methods for Federated Learning Environments and Their Various Applications
inferred← citeshttps://doi.org/10.1007/978-981-97-8013-6_1openalex-snapshot
Efficient Secure Multi-party Computation for Multi-dimensional Arithmetics and Its Application in Privacy-Preserving Biometric Identification
inferred← citeshttps://doi.org/10.1007/s00145-016-9236-6openalex-snapshot
More Efficient Oblivious Transfer Extensions
inferred← citeshttps://doi.org/10.1007/s00170-026-17828-wopenalex-snapshot
Conditional generative adversarial network-enhanced multi-layer parallel pooling vision transformer for federated prediction of product quality
inferred← citeshttps://doi.org/10.1007/s00500-018-3233-7openalex-snapshot
Verifiable privacy-preserving single-layer perceptron training scheme in cloud computing
inferred← citeshttps://doi.org/10.1007/s00607-020-00865-yopenalex-snapshot
A novel approach for CPU load prediction of cloud server combining denoising and error correction
inferred← citeshttps://doi.org/10.1007/s00778-024-00865-wopenalex-snapshot
FedST: secure federated shapelet transformation for time series classification
inferred← citeshttps://doi.org/10.1007/s10115-024-02257-6openalex-snapshot
A systematic review on federated learning system: a new paradigm to machine learning
inferred← citeshttps://doi.org/10.1007/s10207-017-0381-1openalex-snapshot
Supervised machine learning using encrypted training data
inferred← citeshttps://doi.org/10.1007/s10844-018-0525-4openalex-snapshot
Privacy-preserving shared collaborative web services QoS prediction
inferred← citeshttps://doi.org/10.1007/s11063-023-11182-8openalex-snapshot
Secure Multi-Party Computation for Personalized Human Activity Recognition
inferred← citeshttps://doi.org/10.1007/s11280-018-0544-7openalex-snapshot
Differential private collaborative Web services QoS prediction
inferred← citeshttps://doi.org/10.1007/s11280-023-01159-xopenalex-snapshot
Beyond model splitting: Preventing label inference attacks in vertical federated learning with dispersed training
inferred← citeshttps://doi.org/10.1007/s11390-023-2995-2openalex-snapshot
BAM_CRS: Blockchain-Based Anonymous Model for Cross-Domain Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s12083-020-00903-8openalex-snapshot
Efficient distributed privacy-preserving collaborative outlier detection
inferred← citeshttps://doi.org/10.1007/s13042-024-02234-zopenalex-snapshot
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
inferred← citeshttps://doi.org/10.1007/s13369-021-06348-2openalex-snapshot
AI-Based Mobile Edge Computing for IoT: Applications, Challenges, and Future Scope
inferred← citeshttps://doi.org/10.1007/s42979-020-00127-wopenalex-snapshot
Privacy-Preserving Data Sharing by Integrating Perturbed Distance Matrices
inferred← citeshttps://doi.org/10.1016/j.biortech.2024.131531openalex-snapshot
High-throughput prediction of stalk cellulose and hemicellulose content in maize using machine learning and Fourier transform infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/j.carbpol.2021.118793openalex-snapshot
Novel strategy for establishment of an FT-Raman spectroscopy based quantitative model for poplar holocellulose content determination
inferred← citeshttps://doi.org/10.1016/j.comcom.2020.02.014openalex-snapshot
Privacy preserving distributed data mining based on secure multi-party computation
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110187openalex-snapshot
Blockchain-based multi-institution collaborative credit evaluation modeling method
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2017.07.019openalex-snapshot
An efficient and secure ridge regression outsourcing scheme in wearable devices
inferred← citeshttps://doi.org/10.1016/j.cose.2016.12.006openalex-snapshot
Practical-oriented protocols for privacy-preserving outsourced big data analysis: Challenges and future research directions
inferred← citeshttps://doi.org/10.1016/j.csi.2022.103672openalex-snapshot
A survey on privacy inference attacks and defenses in cloud-based Deep Neural Network
inferred← citeshttps://doi.org/10.1016/j.eng.2018.02.005openalex-snapshot
Toward Privacy-Preserving Personalized Recommendation Services
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107180openalex-snapshot
A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119844openalex-snapshot
PEvaChain: Privacy-preserving ridge regression-based credit evaluation system using Hyperledger Fabric blockchain
inferred← citeshttps://doi.org/10.1016/j.ijforecast.2020.06.003openalex-snapshot
A critical overview of privacy-preserving approaches for collaborative forecasting
inferred← citeshttps://doi.org/10.1016/j.indcrop.2024.119934openalex-snapshot
Machine learning prediction of mechanical properties of bamboo by hemicelluloses removal
inferred← citeshttps://doi.org/10.1016/j.ins.2018.03.061openalex-snapshot
Privacy-preserving ridge regression on distributed data
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104443openalex-snapshot
Ophiuchus: Privacy-preserving training service with user-controlled pseudo-noise information generation
inferred← citeshttps://doi.org/10.1016/j.jbi.2018.03.003openalex-snapshot
Secure count query on encrypted genomic data
inferred← citeshttps://doi.org/10.1016/j.jisa.2022.103121openalex-snapshot
Towards a robust and trustworthy machine learning system development: An engineering perspective
inferred← citeshttps://doi.org/10.1016/j.jksuci.2021.05.016openalex-snapshot
A contemplative perspective on federated machine learning: Taxonomy, threats & vulnerability assessment and challenges
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102807openalex-snapshot
Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106775openalex-snapshot
A survey on federated learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115452openalex-snapshot
FedPDM: Representation enhanced federated learning with privacy preserving diffusion models
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.06.016openalex-snapshot
Training Support Vector Machines with privacy-protected data
inferred← citeshttps://doi.org/10.1016/j.procs.2016.08.289openalex-snapshot
Client-side Encryption for Privacy-sensitive Applications on the Cloud
inferred← citeshttps://doi.org/10.1016/j.procs.2022.04.044openalex-snapshot
Implementing Linear Regression with Homomorphic Encryption
inferred← citeshttps://doi.org/10.1051/sands/2021001openalex-snapshot
Concretely efficient secure multi-party computation protocols: survey and more
inferred← citeshttps://doi.org/10.1093/jlb/lsaa010openalex-snapshot
Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies†
inferred← citeshttps://doi.org/10.1101/2023.11.20.567948openalex-snapshot
Phenotype projections accelerate biobank-scale GWAS
inferred← citeshttps://doi.org/10.1109/accai58221.2023.10200291openalex-snapshot
Multi-Key Privacy-Preserving Training and Classification using Supervised Machine Learning Techniques in Cloud Computing
inferred← citeshttps://doi.org/10.1109/access.2016.2624779openalex-snapshot
Towards Secure and Accurate Targeted Mobile Coupon Delivery
inferred← citeshttps://doi.org/10.1109/access.2017.2710091openalex-snapshot
Privacy Disclosure Checking Method Applied on Collaboration Interactions Among SaaS Services
inferred← citeshttps://doi.org/10.1109/access.2017.2765317openalex-snapshot
A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.1109/access.2019.2949782openalex-snapshot
A Comprehensive Survey on Secure Outsourced Computation and Its Applications
inferred← citeshttps://doi.org/10.1109/access.2019.2962700openalex-snapshot
Privacy-Preserving Locally Weighted Linear Regression Over Encrypted Millions of Data
inferred← citeshttps://doi.org/10.1109/access.2020.3000764openalex-snapshot
Privacy-Preserving Linear Regression on Distributed Data by Homomorphic Encryption and Data Masking
inferred← citeshttps://doi.org/10.1109/access.2020.3017436openalex-snapshot
Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.3045465openalex-snapshot
PrivFT: Private and Fast Text Classification With Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/access.2021.3119618openalex-snapshot
Privacy-Preserving Computation for Large-Scale Security-Constrained Optimal Power Flow Problem in Smart Grid
inferred← citeshttps://doi.org/10.1109/access.2021.3124020openalex-snapshot
Enhancing Differential Privacy for Federated Learning at Scale
inferred← citeshttps://doi.org/10.1109/access.2022.3232475openalex-snapshot
Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting
inferred← citeshttps://doi.org/10.1109/access.2023.3294479openalex-snapshot
A Comprehensive Survey on the Cooperation of Fog Computing Paradigm-Based IoT Applications: Layered Architecture, Real-Time Security Issues, and Solutions
inferred← citeshttps://doi.org/10.1109/access.2024.3378126openalex-snapshot
Insights Into Privacy Protection Research in AI
inferred← citeshttps://doi.org/10.1109/access.2024.3440998openalex-snapshot
Decision Trees in Federated Learning: Current State and Future Opportunities
inferred← citeshttps://doi.org/10.1109/acsac63791.2024.00045openalex-snapshot
Reading It like an Open Book: Single-trace Blind Side-channel Attacks on Garbled Circuit Frameworks
inferred← citeshttps://doi.org/10.1109/aqtr70159.2026.11577887openalex-snapshot
Framework for Fully Homomorphic Encryption Libraries Comparative Analysis: Case Study for Microsoft SEAL, OpenFHE, and HElib
inferred← citeshttps://doi.org/10.1109/asiancomnet68615.2025.11579666openalex-snapshot
Enhanced Anomaly Detection and Surety in Safeguards Data: Novel Approach
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622627openalex-snapshot
Privacy-Preserving Scoring of Tree Ensembles: A Novel Framework for AI in Healthcare
inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9005992openalex-snapshot
Privacy-preserving Heterogeneous Federated Transfer Learning
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9672039openalex-snapshot
FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020699openalex-snapshot
Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy
inferred← citeshttps://doi.org/10.1109/bigdia56350.2022.9874186openalex-snapshot
Towards Method of Horizontal Federated Learning: A Survey
inferred← citeshttps://doi.org/10.1109/cloud60044.2023.00019openalex-snapshot
The Case for the Anonymization of Offloaded Computation
inferred← citeshttps://doi.org/10.1109/cloud60044.2023.00040openalex-snapshot
Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing
inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11453250openalex-snapshot
Privacy-preserving Recommendation based on Non-interactive Encrypted CNN
inferred← citeshttps://doi.org/10.1109/cns.2013.6682768openalex-snapshot
Computing encrypted cloud data efficiently under multiple keys
inferred← citeshttps://doi.org/10.1109/cns.2014.6997502openalex-snapshot
A tale of two clouds: Computing on data encrypted under multiple keys
inferred← citeshttps://doi.org/10.1109/cns.2018.8433181openalex-snapshot
Practical Collaborative Learning for Crowdsensing in the Internet of Things with Differential Privacy
inferred← citeshttps://doi.org/10.1109/cns66487.2025.11195036openalex-snapshot
Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00011openalex-snapshot
Towards Deep Neural Network Training on Encrypted Data
inferred← citeshttps://doi.org/10.1109/dac.2018.8465770openalex-snapshot
MAXelerator: FPGA Accelerator for Privacy Preserving Multiply-Accumulate (MAC) on Cloud Servers
inferred← citeshttps://doi.org/10.1109/desec.2017.8073817openalex-snapshot
Privacy-preserving PCA on horizontally-partitioned data
inferred← citeshttps://doi.org/10.1109/eurosp.2019.00043openalex-snapshot
EzPC: Programmable and Efficient Secure Two-Party Computation for Machine Learning
inferred← citeshttps://doi.org/10.1109/glocom.2014.7417734openalex-snapshot
Outsourcing Power System Simulations
inferred← citeshttps://doi.org/10.1109/glocom.2015.7417734openalex-snapshot
Outsourcing Power System Simulations
inferred← citeshttps://doi.org/10.1109/hst.2016.7495574openalex-snapshot
CryptoML: Secure outsourcing of big data machine learning applications
inferred← citeshttps://doi.org/10.1109/icaice68195.2025.11382418openalex-snapshot
Efficient Privacy-Preserving Linear System Solving Based on Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095990openalex-snapshot
Local Graph-Homomorphic Processing for Privatized Distributed Systems
inferred← citeshttps://doi.org/10.1109/icc.2017.7996368openalex-snapshot
Two-phase incentive-based secure key system for data management in internet of things
inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500868openalex-snapshot
Privacy-Preserving Data Sharing Scheme with FL via MPC in Financial Permissioned Blockchain
inferred← citeshttps://doi.org/10.1109/iccc54389.2021.9674508openalex-snapshot
Privacy-preserving Breast Cancer Prediction via Inner-Product Functional Encryption
inferred← citeshttps://doi.org/10.1109/icccn58024.2023.10230190openalex-snapshot
A Data and Model Parallelism based Distributed Deep Learning System in a Network of Edge Devices
inferred← citeshttps://doi.org/10.1109/icdcs.2017.114openalex-snapshot
Processing Encrypted and Compressed Time Series Data
inferred← citeshttps://doi.org/10.1109/icdcs.2018.00040openalex-snapshot
Towards Personalized Learning in Mobile Sensing Systems
inferred← citeshttps://doi.org/10.1109/icdcs47774.2020.00086openalex-snapshot
Achieving Consensus in Privacy-Preserving Decentralized Learning
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00211openalex-snapshot
Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/icfec50348.2020.00011openalex-snapshot
Modelling Fog Offloading Performance
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00107openalex-snapshot
Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models
inferred← citeshttps://doi.org/10.1109/ict-dm52643.2021.9664035openalex-snapshot
In-Network Aggregation for Privacy-Preserving Federated Learning
inferred← citeshttps://doi.org/10.1109/indin41052.2019.8972154openalex-snapshot
Robust and Efficient Privacy Preservation in Industrial IoT via correlation completion and tracking
inferred← citeshttps://doi.org/10.1109/indiscon58499.2023.10269997openalex-snapshot
Data Analytics over Encrypted Data from Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/infocom.2016.7524346openalex-snapshot
Enabling secure and effective near-duplicate detection over encrypted in-network storage
inferred← citeshttps://doi.org/10.1109/infocom.2017.8056955openalex-snapshot
Learning privately: Privacy-preserving canonical correlation analysis for cross-media retrieval
inferred← citeshttps://doi.org/10.1109/infocom.2018.8486371openalex-snapshot
Non-Interactive Privacy-Preserving Truth Discovery in Crowd Sensing Applications
inferred← citeshttps://doi.org/10.1109/isit.2017.8007060openalex-snapshot
Minimizing latency for secure distributed computing
inferred← citeshttps://doi.org/10.1109/isit.2019.8849245openalex-snapshot
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation
inferred← citeshttps://doi.org/10.1109/isit45174.2021.9517715openalex-snapshot
Analog Privacy-Preserving Coded Computing
inferred← citeshttps://doi.org/10.1109/isit54713.2023.10206617openalex-snapshot
Breaking the Quadratic Communication Overhead of Secure Multi-Party Neural Network Training
inferred← citeshttps://doi.org/10.1109/isit54713.2023.10206967openalex-snapshot
Differentially Private Coded Computing
inferred← citeshttps://doi.org/10.1109/isit63088.2025.11195221openalex-snapshot
Lagrange Coding for Tensor Network Contraction: Achieving Polynomial Recovery Thresholds
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00119openalex-snapshot
A Selective Model Aggregation Approach in Federated Learning for Online Anomaly Detection
inferred← citeshttps://doi.org/10.1109/jiot.2017.2670570openalex-snapshot
LoDPD: A Location Difference-Based Proximity Detection Protocol for Fog Computing
inferred← citeshttps://doi.org/10.1109/jiot.2018.2882224openalex-snapshot
An Efficient and Privacy-Preserving Disease Risk Prediction Scheme for E-Healthcare
inferred← citeshttps://doi.org/10.1109/jiot.2019.2932444openalex-snapshot
Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data
inferred← citeshttps://doi.org/10.1109/jiot.2019.2942165openalex-snapshot
Lightweight Privacy-Preserving Training and Evaluation for Discretized Neural Networks
inferred← citeshttps://doi.org/10.1109/jiot.2019.2949374openalex-snapshot
Enabling Efficient Privacy-Assured Outlier Detection Over Encrypted Incremental Data Sets
inferred← citeshttps://doi.org/10.1109/jiot.2021.3051060openalex-snapshot
A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment
inferred← citeshttps://doi.org/10.1109/jiot.2021.3095077openalex-snapshot
A Survey on Federated Learning for Resource-Constrained IoT Devices
inferred← citeshttps://doi.org/10.1109/jiot.2021.3105273openalex-snapshot
ZkRep: A Privacy-Preserving Scheme for Reputation-Based Blockchain System
inferred← citeshttps://doi.org/10.1109/jiot.2023.3296637openalex-snapshot
Verifiable Privacy-Preserving Federated Learning Under Multiple Encrypted Keys
inferred← citeshttps://doi.org/10.1109/jiot.2024.3380597openalex-snapshot
Privacy-Preserving Serverless Federated Learning Scheme for Internet of Things
inferred← citeshttps://doi.org/10.1109/jproc.2022.3205665openalex-snapshot
Survey on Fully Homomorphic Encryption, Theory, and Applications
inferred← citeshttps://doi.org/10.1109/jproc.2023.3306773openalex-snapshot
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning
inferred← citeshttps://doi.org/10.1109/jsait.2021.3053220openalex-snapshot
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning
inferred← citeshttps://doi.org/10.1109/jsait.2021.3056377openalex-snapshot
Analog Lagrange Coded Computing
inferred← citeshttps://doi.org/10.1109/mlsp.2019.8918797openalex-snapshot
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1109/msec.2018.2888775openalex-snapshot
Privacy-Preserving Machine Learning: Threats and Solutions
inferred← citeshttps://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3506214openalex-snapshot
Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
inferred← citeshttps://doi.org/10.1109/ojcs.2021.3099108openalex-snapshot
Concentrated Differentially Private Federated Learning With Performance Analysis
inferred← citeshttps://doi.org/10.1109/sp.2015.29openalex-snapshot
ObliVM: A Programming Framework for Secure Computation
inferred← citeshttps://doi.org/10.1109/sp.2015.30openalex-snapshot
GraphSC: Parallel Secure Computation Made Easy
inferred← citeshttps://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferred← citeshttps://doi.org/10.1109/sp.2019.00028openalex-snapshot
SoK: General Purpose Compilers for Secure Multi-Party Computation
inferred← citeshttps://doi.org/10.1109/sp.2019.00045openalex-snapshot
Helen: Maliciously Secure Coopetitive Learning for Linear Models
inferred← citeshttps://doi.org/10.1109/sp40000.2020.00092openalex-snapshot
CrypTFlow: Secure TensorFlow Inference
inferred← citeshttps://doi.org/10.1109/sp46214.2022.9833648openalex-snapshot
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179422openalex-snapshot
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy
inferred← citeshttps://doi.org/10.1109/sp54263.2024.00093openalex-snapshot
Efficient Zero-Knowledge Arguments For Paillier Cryptosystem
inferred← citeshttps://doi.org/10.1109/spawc51858.2021.9593148openalex-snapshot
A Graph Federated Architecture with Privacy Preserving Learning
inferred← citeshttps://doi.org/10.1109/srds55811.2022.00016openalex-snapshot
Secure Publish-Process-Subscribe System for Dispersed Computing
inferred← citeshttps://doi.org/10.1109/tcbb.2016.2520933openalex-snapshot
Emerging Security Mechanisms for Medical Cyber Physical Systems
inferred← citeshttps://doi.org/10.1109/tcc.2017.2739146openalex-snapshot
Toward Practical Privacy-Preserving Frequent Itemset Mining on Encrypted Cloud Data
inferred← citeshttps://doi.org/10.1109/tcc.2023.3269510openalex-snapshot
Towards Strong Privacy Protection for Association Rule Mining and Query in the Cloud
inferred← citeshttps://doi.org/10.1109/tcc.2025.3561586openalex-snapshot
Secure kNN for Distributed Cloud Environment Using Fully Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/tcc.2025.3599412openalex-snapshot
Forward-Secure Multi-User Graph Searchable Encryption for Exact Shortest Path Queries
inferred← citeshttps://doi.org/10.1109/tcomm.2023.3308954openalex-snapshot
SCALR: Communication-Efficient Secure Multi-Party Logistic Regression
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