SOTAVerified

Privacy Preserving

Papers

Showing 601625 of 2975 papers

TitleStatusHype
Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning MethodsCode0
Empowering Data Mesh with Federated LearningCode0
Federated Learning with Reduced Information Leakage and ComputationCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoVCode0
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networksCode0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
DPM: Clustering Sensitive Data through SeparationCode0
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential PrivacyCode0
Domain Adaptation from ScratchCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
COVID-19 and Your Smartphone: BLE-based Smart Contact TracingCode0
Deep Variational Privacy Funnel: General Modeling with Applications in Face RecognitionCode0
Distributed Learning without Distress: Privacy-Preserving Empirical Risk MinimizationCode0
An Inversion-based Measure of Memorization for Diffusion ModelsCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
Memorization of Named Entities in Fine-tuned BERT ModelsCode0
Analyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component AnalysisCode0
Distributed Differentially Private Computation of Functions with Correlated NoiseCode0
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