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Privacy Preserving

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Showing 551–600 of 2975 papers

TitleStatusHype
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse—0
Anonymizing Data for Privacy-Preserving Federated Learning—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients—0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation—0
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study—0
Towards the Anonymization of the Language Modeling—0
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning—0
Detecting Unknown DGAs without Context Information—0
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning—0
Beyond Identity: What Information Is Stored in Biometric Face Templates?—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
A Benchmark for Multi-speaker Anonymization—0
Detection of Gait Asymmetry Using Indoor Doppler Radar—0
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks—0
Differentially Private 2D Human Pose Estimation—0
BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection—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
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
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs—0
Bayesian Prior Learning via Neural Networks for Next-item Recommendation—0
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis—0
Reconstruction of Privacy-Sensitive Data from Protected Templates—0
Design of Privacy-Preserving Dynamic Controllers—0
Bayesian Federated Learning over Wireless Networks—0
Bayesian Federated Learning: A Survey—0
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place—0
Bayesian Differential Privacy through Posterior Sampling—0
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning—0
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging—0
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization—0
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning—0
Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning—0
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond—0
Exploit the Leak: Understanding Risks in Biometric Matchers—0
Design of Stochastic Quantizers for Privacy Preservation—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
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