SOTAVerified

Privacy Preserving

Papers

Showing 251275 of 2975 papers

TitleStatusHype
Tempered Sigmoid Activations for Deep Learning with Differential PrivacyCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?Code1
Continual atlas-based segmentation of prostate MRICode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
Federated Domain Generalization With Generalization AdjustmentCode1
Show:102550
← PrevPage 11 of 119Next →

No leaderboard results yet.