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Privacy Preserving

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Showing 2701–2750 of 2975 papers

TitleStatusHype
Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets—0
Asynchronous Distributed Learning from Constraints—0
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?—0
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning—0
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific FeaturesCode0
Privacy-Preserving Gradient Boosting Decision TreesCode1
Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate DescentCode0
Theoretical Guarantees for Model Auditing with Finite Adversaries—0
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework—0
Privacy Preserving Threat Hunting in Smart Home Environments—0
Privacy-Preserving Machine Learning Using EtC Images—0
Federated Learning with Differential Privacy: Algorithms and Performance Analysis—0
Efficient Privacy-Preserving Stochastic Nonconvex Optimization—0
Noiseless Privacy—0
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning—0
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving—0
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate PerturbationsCode0
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data—0
Federated Generative Privacy—0
A blockchain-orchestrated Federated Learning architecture for healthcare consortia—0
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
Privacy-Preserving Multi-Party Contextual Bandits—0
Privacy-preserving and yet Robust Collaborative Filtering Recommender as a Service—0
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning—0
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsCode0
PPGAN: Privacy-preserving Generative Adversarial Network—0
PINFER: Privacy-Preserving Inference for Machine Learning—0
Privacy-preserving Federated Brain Tumour Segmentation—0
Privacy Preserving Image Queries for Camera Localization—0
Federated User Representation Learning—0
Privacy-preserving Representation Learning by Disentanglement—0
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training and PredictionCode0
Multi-Step Decentralized Domain Adaptation—0
Making the Shoe Fit: Architectures, Initializations, and Tuning for Learning with Privacy—0
Challenges of Privacy-Preserving Machine Learning in IoT—0
Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice—0
Emotion Filtering at the Edge—0
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-PreservingCode0
Measuring the Effects of Non-Identical Data Distribution for Federated Visual ClassificationCode1
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Privacy-Preserving BanditsCode0
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer—0
Key Protected Classification for Collaborative LearningCode0
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis—0
No Peeking through My Windows: Conserving Privacy in Personal Drones—0
Successive Point-of-Interest Recommendation with Local Differential Privacy—0
A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component—0
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