SOTAVerified

Privacy Preserving

Papers

Showing 101125 of 2975 papers

TitleStatusHype
Prompt-enhanced Federated Content Representation Learning for Cross-domain RecommendationCode1
Towards Real-World Blind Face Restoration with Generative Diffusion PriorCode1
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Federated Learning with Diffusion Models for Privacy-Sensitive Vision TasksCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
A2XP: Towards Private Domain GeneralizationCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
Data Valuation and Detections in Federated LearningCode1
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language ModelsCode1
Continual atlas-based segmentation of prostate MRICode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
Split-and-Denoise: Protect large language model inference with local differential privacyCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot GenerationCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic EncryptionCode1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
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