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Privacy Preserving

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Showing 2301–2350 of 2975 papers

TitleStatusHype
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing TasksCode0
Risk score learning for COVID-19 contact tracing appsCode1
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning—0
See through Gradients: Image Batch Recovery via GradInversion—0
Natural Language Understanding with Privacy-Preserving BERT—0
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector—0
Towards Causal Federated Learning For Enhanced Robustness and Privacy—0
Privacy-Preserving Supervisory Control of Discrete-Event Systems via Co-Synthesis of Edit Function and Supervisor for Opacity Enforcement and Requirement Satisfaction—0
PrivateSNN: Privacy-Preserving Spiking Neural Networks—0
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic EncryptionCode2
Rejoinder: Gaussian Differential Privacy—0
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable SemanticsCode0
Personalized Speech Enhancement through Self-Supervised Data Augmentation and Purification—0
Knowledge Distillation For Wireless Edge LearningCode0
Generation of Gradient-Preserving Images allowing HOG Feature Extraction—0
Fast-adapting and Privacy-preserving Federated Recommender System—0
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification—0
Configurable Privacy-Preserving Automatic Speech Recognition—0
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19—0
Privacy and Trust Redefined in Federated Machine LearningCode0
Vulnerability Due to Training Order in Split Learning—0
A privacy-preserving distributed computational approach for distributed locational marginal prices—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach—0
Sample-based Federated Learning via Mini-batch SSCA—0
Encrypted Linear Contextual Bandit—0
SoK: Privacy-Preserving Collaborative Tree-based Model Learning—0
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization—0
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models—0
Privacy-preserving Object Detection—0
Quantum machine learning with differential privacy—0
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation—0
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data—0
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationCode1
Practical Privacy Filters and Odometers with Rényi Differential Privacy and Applications to Differentially Private Deep LearningCode0
FedPower: Privacy-Preserving Distributed Eigenspace Estimation—0
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles—0
Towards Personalized Federated Learning—0
Federated Learning without Revealing the Decision Boundaries—0
Constrained Differentially Private Federated Learning for Low-bandwidth Devices—0
SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the CloudCode0
Secure Evaluation of Knowledge Graph Merging GainCode0
No-Regret Algorithms for Private Gaussian Process Bandit Optimization—0
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models—0
Federated Learning for Physical Layer Design—0
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System—0
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