SOTAVerified

Privacy Preserving

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2751–2800 of 2975 papers

TitleStatusHype
Differentially Private False Discovery Rate Control—0
Differentially Private Federated Combinatorial Bandits with Constraints—0
Differentially Private Federated Learning without Noise Addition: When is it Possible?—0
Differentially Private Federated Learning: A Systematic Review—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
Differentially Private GANs for Generating Synthetic Indoor Location Data—0
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption—0
Differentially-Private Heat and Electricity Markets Coordination—0
Privacy-Preserving In-Context Learning for Large Language Models—0
Differentially Private Iterative Screening Rules for Linear Regression—0
Differentially private k-means clustering via exponential mechanism and max cover—0
Differentially Private Language Models Benefit from Public Pre-training—0
Differentially Private Learning with Per-Sample Adaptive Clipping—0
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases—0
Differentially Private Matrix Completion Revisited—0
Differentially Private M-Estimators—0
Differentially Private Multi-Agent Planning for Logistic-like Problems—0
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks—0
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels—0
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Differentially Private Reinforcement Learning with Linear Function Approximation—0
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications—0
Differentially Private Stochastic Gradient Descent with Low-Noise—0
Differentially Private Submodular Maximization: Data Summarization in Disguise—0
Differentially Private Synthetic Data Generation via Lipschitz-Regularised Variational Autoencoders—0
Differentially Private Training of Mixture of Experts Models—0
Differentially Private Variational Dropout—0
Differentially Private Wireless Federated Learning Using Orthogonal Sequences—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Differential Privacy and Machine Learning: a Survey and Review—0
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction—0
Differential privacy guarantees of Markov chain Monte Carlo algorithms—0
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving—0
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings—0
Differential Privacy of Quantum and Quantum-Inspired-Classical Recommendation Algorithms—0
Differential Privacy Overview and Fundamental Techniques—0
Differential Privacy Under Class Imbalance: Methods and Empirical Insights—0
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection—0
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
Difficulty in estimating visual information from randomly sampled images—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Disentangling the Linguistic Competence of Privacy-Preserving BERT—0
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning—0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation—0
Distilling On-Device Intelligence at the Network Edge—0
Show:102550
← PrevPage 56 of 60Next →

No leaderboard results yet.