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Privacy Preserving

Papers

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Showing 1251–1300 of 2975 papers

TitleStatusHype
Differentially Private Federated Learning without Noise Addition: When is it Possible?—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
Differentially Private Federated Combinatorial Bandits with Constraints—0
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning—0
Differentially Private False Discovery Rate Control—0
Differentially Private Exploration in Reinforcement Learning with Linear Representation—0
Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization—0
Privacy Preserving Adaptive Experiment Design—0
Differentially Private Dropout—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
Differentially-Private "Draw and Discard" Machine Learning—0
Differentially Private Distributed Convex Optimization—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
Differentially Private Diffusion Models Generate Useful Synthetic Images—0
Differentially Private Densest-k-Subgraph—0
Differentially Private Deep Learning with Direct Feedback Alignment—0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
Differentially Private Decoding in Large Language Models—0
Differentially Private CutMix for Split Learning with Vision Transformer—0
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Differentially private and decentralized randomized power method—0
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning—0
A Vertical Federated Learning Framework for Graph Convolutional Network—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
Differentially Private 2D Human Pose Estimation—0
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition—0
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols—0
De-VertiFL: A Solution for Decentralized Vertical Federated Learning—0
An Empirical Study of Federated Prompt Learning for Vision Language Model—0
A Comparative Study of Federated Learning Models for COVID-19 Detection—0
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks—0
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
Detection of Gait Asymmetry Using Indoor Doppler Radar—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms—0
Fog Intelligence for Network Anomaly Detection—0
Detecting Unknown DGAs without Context Information—0
FOCUS: Dealing with Label Quality Disparity in Federated Learning—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
FLVoogd: Robust And Privacy Preserving Federated Learning—0
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