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Privacy Preserving

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Showing 1276–1300 of 2975 papers

TitleStatusHype
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy—0
FedQV: Leveraging Quadratic Voting in Federated LearningCode0
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition—0
Validating Privacy-Preserving Face Recognition under a Minimum AssumptionCode0
Facebook Report on Privacy of fNIRS data—0
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds—0
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPCCode0
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity RecognitionCode0
Securing the Future: Innovations in Privacy-Preserving Integrated Sensing for Industrial Cyber-Physical Systems—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
CamPro: Camera-based Anti-Facial RecognitionCode0
ConfusionPrompt: Practical Private Inference for Online Large Language Models—0
Privacy-Preserved Neural Graph DatabasesCode0
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization—0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms—0
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural NetworksCode0
IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding—0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data—0
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants—0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions—0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion—0
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