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Privacy Preserving

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Showing 601–650 of 2975 papers

TitleStatusHype
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID GraphsCode0
Federated Split GANsCode0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
Empowering Data Mesh with Federated LearningCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series ClassificationCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot DetectionCode0
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networksCode0
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoVCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
Deep Variational Privacy Funnel: General Modeling with Applications in Face RecognitionCode0
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank AdaptationCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMCode0
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent HealthcareCode0
Analyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component AnalysisCode0
DPM: Clustering Sensitive Data through SeparationCode0
COVID-19 and Your Smartphone: BLE-based Smart Contact TracingCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
An Inversion-based Measure of Memorization for Diffusion ModelsCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & AnalyticsCode0
F-KANs: Federated Kolmogorov-Arnold NetworksCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
A Universal Metric of Dataset Similarity for Cross-silo Federated LearningCode0
Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and EnhancementCode0
DP-EM: Differentially Private Expectation MaximizationCode0
DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average ConstraintsCode0
Distributed Differentially Private Computation of Functions with Correlated NoiseCode0
Cooperative Network Learning for Large-Scale and Decentralized GraphsCode0
Distributed Learning without Distress: Privacy-Preserving Empirical Risk MinimizationCode0
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
Air Signing and Privacy-Preserving Signature Verification for Digital DocumentsCode0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Differential privacy for symmetric log-concave mechanismsCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
Automatic Discovery of Privacy-Utility Pareto FrontsCode0
A Statistical Approach for Synthetic EEG Data GenerationCode0
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