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Privacy Preserving

Papers

Showing 151175 of 2975 papers

TitleStatusHype
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
Dual Personalization on Federated RecommendationCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
An Efficient Approach for Cross-Silo Federated Learning to RankCode1
A2XP: Towards Private Domain GeneralizationCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
A New Federated Learning Framework Against Gradient Inversion AttacksCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular DiseaseCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
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