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Privacy Preserving

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Showing 1501–1550 of 2975 papers

TitleStatusHype
Optimal and Private Learning from Human Response Data—0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning—0
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning—0
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning—0
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles—0
A Privacy Preserving System for Movie Recommendations Using Federated Learning—0
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning—0
Privacy-Preserving Fair Item Ranking—0
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting—0
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation—0
Deep Learning in the Field of Biometric Template Protection: An Overview—0
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens—0
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation—0
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces—0
FedScore: A privacy-preserving framework for federated scoring system developmentCode0
DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction—0
Differentially Private Distributed Convex Optimization—0
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming—0
Arbitrary Decisions are a Hidden Cost of Differentially Private TrainingCode0
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor—0
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain—0
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence—0
Differentially Private Diffusion Models Generate Useful Synthetic Images—0
FedCLIP: Fast Generalization and Personalization for CLIP in Federated LearningCode2
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups—0
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Personalizing Federated Learning with Over-the-Air Computations—0
Federated Nearest Neighbor Machine Translation—0
A Survey of Secure Computation Using Trusted Execution Environments—0
Personalized Privacy-Preserving Framework for Cross-Silo Federated LearningCode0
Advancements in Federated Learning: Models, Methods, and Privacy—0
FedST: Secure Federated Shapelet Transformation for Time Series Classification—0
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMICode0
Federated Gradient Matching Pursuit—0
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent HealthcareCode0
FederatedTrust: A Solution for Trustworthy Federated Learning—0
Clustered Data Sharing for Non-IID Federated Learning over Wireless Networks—0
Learning with Impartiality to Walk on the Pareto Frontier of Fairness, Privacy, and Utility—0
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning—0
Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming—0
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective—0
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 CitiesCode1
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning—0
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx modelsCode1
A Federated Learning Benchmark for Drug-Target InteractionCode0
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks—0
Federated Learning via Indirect Server-Client Communications—0
Privacy-Preserving Tree-Based Inference with TFHECode3
Deep Neural Networks for Encrypted Inference with TFHECode3
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