SOTAVerified

Privacy Preserving

Papers

Showing 651675 of 2975 papers

TitleStatusHype
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networksCode0
COVID-19 and Your Smartphone: BLE-based Smart Contact TracingCode0
An Inversion-based Measure of Memorization for Diffusion ModelsCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMCode0
High Performance Logistic Regression for Privacy-Preserving Genome AnalysisCode0
Cooperative Network Learning for Large-Scale and Decentralized GraphsCode0
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated EmbeddingsCode0
Differentially Private Algorithms for Synthetic Power System DatasetsCode0
How reparametrization trick broke differentially-private text representation learningCode0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
DP-EM: Differentially Private Expectation MaximizationCode0
Air Signing and Privacy-Preserving Signature Verification for Digital DocumentsCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
DPM: Clustering Sensitive Data through SeparationCode0
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Backpropagation Clipping for Deep Learning with Differential PrivacyCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Domain Adaptation from ScratchCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
Knowledge Distillation For Wireless Edge LearningCode0
Distributed Learning without Distress: Privacy-Preserving Empirical Risk MinimizationCode0
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