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Privacy Preserving

Papers

Showing 101125 of 2975 papers

TitleStatusHype
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
Extracting Training Data from Diffusion ModelsCode1
Fair Federated Learning under Domain Skew with Local Consistency and Domain DiversityCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
Fast Federated Learning by Balancing Communication Trade-OffsCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
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
Differentially Private Bias-Term Fine-tuning of Foundation ModelsCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime DetectionCode1
Federated Domain Generalization With Generalization AdjustmentCode1
Federated Learning for Computational Pathology on Gigapixel Whole Slide ImagesCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving MLCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
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