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Privacy Preserving

Papers

Showing 151200 of 2975 papers

TitleStatusHype
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphsCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
Federated Boosted Decision Trees with Differential PrivacyCode1
An Efficient Approach for Cross-Silo Federated Learning to RankCode1
A2XP: Towards Private Domain GeneralizationCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Encryption-Friendly LLM ArchitectureCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
Federated Learning with Label-Masking DistillationCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
A New Federated Learning Framework Against Gradient Inversion AttacksCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service DetectionCode1
Adversarially-Guided Portrait MattingCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor SegmentationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
GeoPointGAN: Synthetic Spatial Data with Local Label Differential PrivacyCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic EncryptionCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
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