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Privacy Preserving

Papers

Showing 10761100 of 2975 papers

TitleStatusHype
Validating Privacy-Preserving Face Recognition under a Minimum AssumptionCode0
Securing the Future: Innovations in Privacy-Preserving Integrated Sensing for Industrial Cyber-Physical Systems0
Facebook Report on Privacy of fNIRS data0
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPCCode0
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity RecognitionCode0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration0
ConfusionPrompt: Practical Private Inference for Online Large Language Models0
CamPro: Camera-based Anti-Facial RecognitionCode0
Towards Real-World Blind Face Restoration with Generative Diffusion PriorCode1
Privacy-Preserved Neural Graph DatabasesCode0
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms0
IRG: Generating Synthetic Relational Databases using Deep Learning with Insightful Relational Understanding0
Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural NetworksCode0
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
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 Detection0
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding0
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data0
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants0
A review of federated learning in renewable energy applications: Potential, challenges, and future directions0
Privacy-preserving transactive energy systems: Key topics and open research challenges0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion0
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