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Privacy Preserving

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Showing 1976–2000 of 2975 papers

TitleStatusHype
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients—0
Shared MF: A privacy-preserving recommendation system—0
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking—0
Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection—0
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data—0
Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation—0
Shuffled Differentially Private Federated Learning for Time Series Data Analytics—0
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models—0
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic Services in Cancer Histopathology—0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition—0
Smart Policy Control for Securing Federated Learning Management System—0
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data—0
Sniper GMMs: Structured Gaussian mixtures poison ML on large n small p data with high efficacy—0
SocialGuard: An Adversarial Example Based Privacy-Preserving Technique for Social Images—0
Social Vehicle Swarms: A Novel Perspective on Social-aware Vehicular Communication Architecture—0
Sociodynamics-inspired Adaptive Coalition and Client Selection in Federated Learning—0
Soft-Hard Attention U-Net Model and Benchmark Dataset for Multiscale Image Shadow Removal—0
SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation—0
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability—0
On the Impossible Safety of Large AI Models—0
SoK: Privacy-Preserving Collaborative Tree-based Model Learning—0
SoK: Privacy-Preserving Data Synthesis—0
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption—0
SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges—0
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation—0
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