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Privacy Preserving

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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
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