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Privacy Preserving

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Showing 2551–2600 of 2975 papers

TitleStatusHype
Federated Survival ForestsCode0
An Inversion-based Measure of Memorization for Diffusion ModelsCode0
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent SystemsCode0
CAPE: Context-Aware Private Embeddings for Private Language LearningCode0
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical ImagingCode0
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated LearningCode0
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-GradientsCode0
MAPL: Model Agnostic Peer-to-peer LearningCode0
Federated User Preference Modeling for Privacy-Preserving Cross-Domain RecommendationCode0
SoteriaFL: A Unified Framework for Private Federated Learning with Communication CompressionCode0
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate DescentCode0
Wasserstein Differential PrivacyCode0
Differentially Private Releasing via Deep Generative Model (Technical Report)Code0
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity ModelingCode0
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure ImageCode0
Can Large Language Models Really Recognize Your Name?Code0
Source-Free Domain Adaptation via Distribution EstimationCode0
MC-GEN:Multi-level Clustering for Private Synthetic Data GenerationCode0
Federated Frank-Wolfe AlgorithmCode0
Differentially Private Random Feature ModelCode0
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss ApproximationsCode0
Practical Differentially Private and Byzantine-resilient Federated LearningCode0
Mechanistic Interpretability in the Presence of Architectural ObfuscationCode0
Differentially private partitioned variational inferenceCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
FedPH: Privacy-enhanced Heterogeneous Federated LearningCode0
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin DataCode0
FedIMPUTE: Privacy-Preserving Missing Value Imputation for Multi-Site Heterogeneous Electronic Health RecordsCode0
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic EncryptionCode0
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot DetectionCode0
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent HealthcareCode0
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemCode0
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep LearningCode0
Differentially Private Online Bayesian Estimation With Adaptive TruncationCode0
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex HullsCode0
CollabEdit: Towards Non-destructive Collaborative Knowledge EditingCode0
MERGE: Fast Private Text GenerationCode0
Privacy-Preserving Graph Convolutional Networks for Text ClassificationCode0
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam DetectionCode0
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior DataCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health RecordsCode0
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated LearningCode0
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated LearningCode0
Federated Causal Discovery From InterventionsCode0
Releasing Graph Neural Networks with Differential Privacy GuaranteesCode0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing TasksCode0
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central UpdatesCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical ApplicationsCode0
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