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Privacy Preserving

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Showing 1451–1500 of 2975 papers

TitleStatusHype
Privacy Preserving Machine Learning for Behavioral Authentication Systems—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized LearningCode0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach—0
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs—0
Federated Causal Inference from Observational DataCode0
A Survey of Graph Unlearning—0
Privacy-Preserving Face Recognition Using Random Frequency Components—0
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks—0
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics—0
East: Efficient and Accurate Secure Transformer Framework for Inference—0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
Privacy-Preserving 3-Layer Neural Network Training—0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
Hyperdimensional Computing as a Rescue for Efficient Privacy-Preserving Machine Learning-as-a-Service—0
Home monitoring for frailty detection through sound and speaker diarization analysis—0
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition—0
Independent Distribution Regularization for Private Graph EmbeddingCode0
Decentralized Graph Neural Network for Privacy-Preserving Recommendation—0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
ReLU and Addition-based Gated RNN—0
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks—0
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning—0
Feature Matching Data Synthesis for Non-IID Federated Learning—0
FaceSkin: A Privacy Preserving Facial skin patch Dataset for multi Attributes classification—0
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption—0
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin DataCode0
A Survey on Decentralized Federated Learning—0
Binary Federated Learning with Client-Level Differential Privacy—0
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection—0
Labeling without Seeing? Blind Annotation for Privacy-Preserving Entity Resolution—0
Federated Representation Learning for Automatic Speech Recognition—0
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy—0
Shuffled Differentially Private Federated Learning for Time Series Data Analytics—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
Blockchain-empowered Federated Learning for Healthcare Metaverses: User-centric Incentive Mechanism with Optimal Data Freshness—0
Exploit the Leak: Understanding Risks in Biometric Matchers—0
Node Injection Link Stealing Attack—0
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted LearningCode0
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation—0
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning—0
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency—0
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior—0
PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow—0
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey—0
Privacy-preserving patient clustering for personalized federated learningCode0
To share or not to share: What risks would laypeople accept to give sensitive data to differentially-private NLP systems?—0
DBFed: Debiasing Federated Learning Framework based on Domain-Independent—0
Fairness-aware Federated Minimax Optimization with Convergence Guarantee—0
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