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Privacy Preserving

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Showing 1951–2000 of 2975 papers

TitleStatusHype
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning—0
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization—0
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning ApproachCode0
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT—0
Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers—0
Privacy-Preserving Reinforcement Learning Beyond Expectation—0
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Privacy-preserving Online AutoML for Domain-Specific Face Detection—0
Privacy-Preserving Speech Representation Learning using Vector Quantization—0
Generating Privacy-Preserving Process Data with Deep Generative Models—0
Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach—0
Communication-Efficient Federated Distillation with Active Data Sampling—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
FedSyn: Synthetic Data Generation using Federated Learning—0
No Free Lunch Theorem for Security and Utility in Federated Learning—0
Federated Remote Physiological Measurement with Imperfect Data—0
Similarity-based Label Inference Attack against Training and Inference of Split Learning—0
Conditional Synthetic Data Generation for Personal Thermal Comfort Models—0
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributesCode0
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data—0
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers—0
Estimating Model Performance on External Samples from Their Limited Statistical CharacteristicsCode0
Privacy-preserving machine learning with tensor networksCode0
How reparametrization trick broke differentially-private text representation learningCode0
Differential privacy for symmetric log-concave mechanismsCode0
FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio SensingCode0
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study—0
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol DatasetCode0
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy—0
Fair Division with Money and Prices—0
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices—0
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Privacy Preserving Visual Question Answering—0
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsificationCode1
UA-FedRec: Untargeted Attack on Federated News RecommendationCode1
Do Gradient Inversion Attacks Make Federated Learning Unsafe?—0
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data ReleaseCode0
Privacy-preserving Generative Framework Against Membership Inference Attacks—0
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation—0
Backpropagation Clipping for Deep Learning with Differential PrivacyCode0
FedQAS: Privacy-aware machine reading comprehension with federated learningCode0
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection—0
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees—0
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
PrivFair: a Library for Privacy-Preserving Fairness AuditingCode0
CECILIA: Comprehensive Secure Machine Learning FrameworkCode0
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks—0
Lossy Compression of Noisy Data for Private and Data-Efficient Learning—0
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