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Privacy Preserving

Papers

Showing 151200 of 2975 papers

TitleStatusHype
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text RewritingCode1
Dual Personalization on Federated RecommendationCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
A New Federated Learning Framework Against Gradient Inversion AttacksCode1
Can Foundation Models Help Us Achieve Perfect Secrecy?Code1
Fast Federated Learning by Balancing Communication Trade-OffsCode1
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving RecommendationCode1
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?Code1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
Continual atlas-based segmentation of prostate MRICode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Federated Learning for Computational Pathology on Gigapixel Whole Slide ImagesCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
Anonymizing Machine Learning ModelsCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Federated Learning over Wireless Networks: Convergence Analysis and Resource AllocationCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving MLCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
Federated Few-Shot Learning for Mobile NLPCode1
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal DecouplingCode1
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and CountermeasuresCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Antipodes of Label Differential Privacy: PATE and ALIBICode1
FedSim: Similarity guided model aggregation for Federated LearningCode1
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular DataCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
APPFL: Open-Source Software Framework for Privacy-Preserving Federated LearningCode1
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
Fully Homomorphically Encrypted Deep Learning as a ServiceCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
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