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Privacy Preserving

Papers

Showing 251300 of 2975 papers

TitleStatusHype
Tempered Sigmoid Activations for Deep Learning with Differential PrivacyCode1
Anonymizing Machine Learning ModelsCode1
Human Pose Estimation on Privacy-Preserving Low-Resolution Depth ImagesCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
Personalized Federated Learning with Moreau EnvelopesCode1
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy ProtectionCode1
Locally Private Graph Neural NetworksCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image DataCode1
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General FrameworkCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
Privacy-Preserving News Recommendation Model LearningCode1
Privacy-preserving Traffic Flow Prediction: A Federated Learning ApproachCode1
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?Code1
Ternary Compression for Communication-Efficient Federated LearningCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
PrivacyFL: A simulator for privacy-preserving and secure federated learningCode1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Privacy-preserving data sharing via probabilistic modellingCode1
Privacy-Preserving Gradient Boosting Decision TreesCode1
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
Measuring the Effects of Non-Identical Data Distribution for Federated Visual ClassificationCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New DatasetCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
Evaluating Differentially Private Machine Learning in PracticeCode1
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot StudyCode1
Protecting Sensory Data against Sensitive InferencesCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique0
Federated Learning for Commercial Image Sources0
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations0
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts0
Federated Learning in Open- and Closed-Loop EMG Decoding: A Privacy and Performance Perspective0
Safeguarding Federated Learning-based Road Condition Classification0
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy0
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
Differentially Private Federated Low Rank Adaptation Beyond Fixed-MatrixCode0
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning0
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric0
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis0
Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach0
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models0
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