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Privacy Preserving

Papers

Showing 151200 of 2975 papers

TitleStatusHype
Source Anonymity for Private Random Walk Decentralized Learning0
Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning0
RiM: Record, Improve and Maintain Physical Well-being using Federated LearningCode0
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models0
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation0
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning0
From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep AnalysisCode0
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device CollaborationCode0
OcularAge: A Comparative Study of Iris and Periocular Images for Pediatric Age Estimation0
Onboard Optimization and Learning: A Survey0
Differentially Private Densest-k-Subgraph0
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review0
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models0
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning0
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach0
Preserving Privacy and Utility in LLM-Based Product Recommendations0
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving0
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management0
Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making0
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data0
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical ImagingCode0
TeleSparse: Practical Privacy-Preserving Verification of Deep Neural NetworksCode0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving0
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity0
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition0
Switch-Based Multi-Part Neural Network0
Optimizing the Privacy-Utility Balance using Synthetic Data and Configurable Perturbation Pipelines0
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections0
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code0
A Statistical Approach for Synthetic EEG Data GenerationCode0
On the Price of Differential Privacy for Hierarchical ClusteringCode0
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions0
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving0
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs0
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationCode1
Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization0
A synthetic dataset of French electric load curves with temperature conditioning0
ForgetMe: Evaluating Selective Forgetting in Generative Models0
Privacy-Preserving Operating Room Workflow Analysis using Digital Twins0
VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture0
Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations0
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID GraphsCode0
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks0
Benchmarking Mutual Information-based Loss Functions in Federated Learning0
Differentially Private 2D Human Pose Estimation0
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