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Privacy Preserving

Papers

Showing 351400 of 2975 papers

TitleStatusHype
FedGES: A Federated Learning Approach for BN Structure Learning0
A Framework for Double-Blind Federated Adaptation of Foundation Models0
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis0
Encrypted Large Model Inference: The Equivariant Encryption Paradigm0
Privacy Preserving Properties of Vision Classifiers0
SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models0
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningCode1
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review0
Privacy Preserving Charge Location Prediction for Electric Vehicles0
Norm-Bounded Low-Rank Adaptation0
S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning0
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks0
Targeted Data Fusion for Causal Survival Analysis Under Distribution Shift0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization0
Privacy-Preserving Edge Speech Understanding with Tiny Foundation Models0
A Survey on Cluster-based Federated Learning0
Secure Federated Graph-Filtering for Recommender Systems0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment0
Decentralized Low-Rank Fine-Tuning of Large Language Models0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach0
SoK: What Makes Private Learning Unfair?0
Optimal Strategies for Federated Learning Maintaining Client Privacy0
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models0
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion0
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling0
Practical quantum federated learning and its experimental demonstration0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning0
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications0
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy0
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 Transformer0
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 Learning0
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice0
Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems0
Resource-Constrained Federated Continual Learning: What Does Matter?0
Privacy-Preserving Model and Preprocessing Verification for Machine Learning0
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning0
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 Database0
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning0
Forecasting Anonymized Electricity Load Profiles0
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning0
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization0
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