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Privacy Preserving

Papers

Showing 5175 of 2975 papers

TitleStatusHype
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
Differentially Private Optimization on Large Model at Small CostCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
Data Valuation and Detections in Federated LearningCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
Continual atlas-based segmentation of prostate MRICode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
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