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Privacy Preserving

Papers

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Showing 2251–2300 of 2975 papers

TitleStatusHype
Temporally coherent video anonymization through GAN inpainting—0
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation—0
Federated Neural Collaborative Filtering—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation—0
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
A Privacy-Preserving and Trustable Multi-agent Learning Framework—0
Personalizing Pre-trained Models—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Private Text Classification with Convolutional Neural Networks—0
Building blocks of a task-oriented dialogue system in the healthcare domain—0
Private Release of Text Embedding Vectors—0
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels—0
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture—0
Unifying Distillation with Personalization in Federated Learning—0
De-identification of Privacy-related Entities in Job PostingsCode0
Fast Federated Learning by Balancing Communication Trade-OffsCode1
PAL: Intelligence Augmentation using Egocentric Visual Context Detection—0
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine LearningCode1
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning—0
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated LearningCode0
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep LearningCode0
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Privacy-Preserving Graph Convolutional Networks for Text Classification—0
Private Facial Diagnosis as an Edge Service for Parkinson's DBS Treatment Valuation—0
Decision Making with Differential Privacy under a Fairness Lens—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
Privacy-preserving Logistic Regression with Secret SharingCode0
The FeatureCloud AI Store for Federated Learning in Biomedicine and BeyondCode0
FedGL: Federated Graph Learning Framework with Global Self-Supervision—0
Security Protection in Cooperative Control of Multi-agent Systems—0
Federated Face Recognition—0
Byzantine-Robust and Privacy-Preserving Framework for FedML—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning—0
Privacy-Preserving Co-synthesis Against Sensor-Actuator Eavesdropping Intruder—0
PPFL: Privacy-preserving Federated Learning with Trusted Execution EnvironmentsCode1
Privacy-Preserving Portrait MattingCode1
Privacy-Preserving Federated Learning on Partitioned Attributes—0
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning—0
A Graph Federated Architecture with Privacy Preserving Learning—0
Syft 0.5: A Platform for Universally Deployable Structured TransparencyCode3
On a Utilitarian Approach to Privacy Preserving Text Generation—0
Safe Fakes: Evaluating Face Anonymizers for Face Detectors—0
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
Protecting gender and identity with disentangled speech representations—0
Evaluating the Immediate Applicability of Pose Estimation for Sign Language Recognition—0
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks—0
Labels, Information, and Computation: Efficient Learning Using Sufficient Labels—0
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