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Privacy Preserving

Papers

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Showing 376–400 of 2975 papers

TitleStatusHype
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion—0
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling—0
Practical quantum federated learning and its experimental demonstration—0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning—0
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL—0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications—0
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy—0
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario ExplorationCode0
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?—0
Trustformer: A Trusted Federated Transformer—0
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital CollaborationCode1
Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine LearningCode1
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning—0
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice—0
Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems—0
Resource-Constrained Federated Continual Learning: What Does Matter?—0
Privacy-Preserving Model and Preprocessing Verification for Machine Learning—0
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning—0
UFGraphFR: An attempt at a federated recommendation system based on user text characteristicsCode0
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
EVA-S2PLoR: A Secure Element-wise Multiplication Meets Logistic Regression on Heterogeneous Database—0
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning—0
Forecasting Anonymized Electricity Load Profiles—0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization—0
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