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Privacy Preserving

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Showing 1201–1250 of 2975 papers

TitleStatusHype
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients—0
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications—0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
Differentially Private Reinforcement Learning with Linear Function Approximation—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching—0
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning—0
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels—0
Beyond Identity: What Information Is Stored in Biometric Face Templates?—0
Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity—0
Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction—0
Towards the Anonymization of the Language Modeling—0
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning—0
A Benchmark for Multi-speaker Anonymization—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation—0
BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection—0
Differentially Private Multi-Agent Planning for Logistic-like Problems—0
Differentially Private M-Estimators—0
Best-First Width Search for Multi Agent Privacy-preserving Planning—0
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning—0
Benchmarking Mutual Information-based Loss Functions in Federated Learning—0
Differentially Private Matrix Completion Revisited—0
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases—0
Benchmarking LLMs and SLMs for patient reported outcomes—0
FLBench: A Benchmark Suite for Federated Learning—0
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations—0
Differentially Private Learning with Per-Sample Adaptive Clipping—0
Differentially Private Language Models Benefit from Public Pre-training—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Differentially private k-means clustering via exponential mechanism and max cover—0
BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs—0
Differentially Private Iterative Screening Rules for Linear Regression—0
Privacy-Preserving In-Context Learning for Large Language Models—0
Bayesian Prior Learning via Neural Networks for Next-item Recommendation—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Differentially-Private Heat and Electricity Markets Coordination—0
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption—0
Bayesian Federated Learning over Wireless Networks—0
Differentially Private GANs for Generating Synthetic Indoor Location Data—0
Bayesian Federated Learning: A Survey—0
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
Differentially Private Federated Learning: A Systematic Review—0
Bayesian Differential Privacy through Posterior Sampling—0
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