SOTAVerified

Privacy Preserving

Papers

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Showing 2251–2300 of 2975 papers

TitleStatusHype
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
A Benchmark for Multi-speaker Anonymization—0
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning—0
A blockchain-orchestrated Federated Learning architecture for healthcare consortia—0
A Blockchain Solution for Collaborative Machine Learning over IoT—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
A capacity renting framework for shared energy storage considering peer-to-peer energy trading of prosumers with privacy protection—0
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs—0
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses—0
Accelerating Fair Federated Learning: Adaptive Federated Adam—0
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling—0
Accelerating Federated Edge Learning via Topology Optimization—0
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems—0
Accessible Gesture-Driven Augmented Reality Interaction System—0
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets—0
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning—0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—0
A Comparative Study of Federated Learning Models for COVID-19 Detection—0
Exploit the Leak: Understanding Risks in Biometric Matchers—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning—0
A compressive multi-kernel method for privacy-preserving machine learning—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment—0
Active Distribution Learning from Indirect Samples—0
Active Inference for Energy Control and Planning in Smart Buildings and Communities—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
AdaFedFR: Federated Face Recognition with Adaptive Inter-Class Representation Learning—0
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation—0
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI—0
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data—0
Adaptive Federated Minimax Optimization with Lower Complexities—0
Adaptive Federated Pruning in Hierarchical Wireless Networks—0
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack—0
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning—0
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning—0
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis—0
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow—0
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric—0
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric—0
A Distance Measure for Privacy-preserving Process Mining based on Feature Learning—0
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks—0
ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease—0
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs—0
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