SOTAVerified

Privacy Preserving

Papers

Showing 101150 of 2975 papers

TitleStatusHype
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
Federated Learning with Diffusion Models for Privacy-Sensitive Vision TasksCode1
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?Code1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Federated Few-Shot Learning for Mobile NLPCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
A2XP: Towards Private Domain GeneralizationCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
FedMatch: Federated Learning Over Heterogeneous Question Answering DataCode1
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated LearningCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Data Valuation and Detections in Federated LearningCode1
FedVLN: Privacy-preserving Federated Vision-and-Language NavigationCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
Federated Domain Generalization With Generalization AdjustmentCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Encryption-Friendly LLM ArchitectureCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret SharingCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Dual Personalization on Federated RecommendationCode1
Differentially Private Optimization on Large Model at Small CostCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
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