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Privacy Preserving

Papers

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Showing 851–875 of 2975 papers

TitleStatusHype
Enabling Noninvasive Physical Assault Monitoring in Smart School with Commercial Wi-Fi Devices—0
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets—0
A Privacy-Preserving Framework for Cloud-Based HVAC Control—0
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations—0
CCVA-FL: Cross-Client Variations Adaptive Federated Learning for Medical Imaging—0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy—0
Emotion Filtering at the Edge—0
Causal inference for data-driven debugging and decision making in cloud computing—0
A Privacy-Preserving Federated Learning Approach for Kernel methods—0
A Federated Learning Scheme for Neuro-developmental Disorders: Multi-Aspect ASD Detection—0
A capacity renting framework for shared energy storage considering peer-to-peer energy trading of prosumers with privacy protection—0
Elastic Aggregation for Federated Optimization—0
Efficient Vertical Federated Learning with Secure Aggregation—0
Catching Elusive Depression via Facial Micro-Expression Recognition—0
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice—0
Efficient Skip Connections Realization for Secure Inference on Encrypted Data—0
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research—0
Empowering Healthcare through Privacy-Preserving MRI Analysis—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—0
Enabling External Scrutiny of AI Systems with Privacy-Enhancing Technologies—0
A Privacy-Preserving Energy Management System for Cooperative Multi-Microgrid Networks—0
Enabling Privacy-Preserving GWAS in Heterogeneous Human Populations—0
Efficient privacy-preserving inference for convolutional neural networks—0
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