SOTAVerified

Privacy Preserving

Papers

Showing 101150 of 2975 papers

TitleStatusHype
Prompt-enhanced Federated Content Representation Learning for Cross-domain RecommendationCode1
Towards Real-World Blind Face Restoration with Generative Diffusion PriorCode1
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Federated Learning with Diffusion Models for Privacy-Sensitive Vision TasksCode1
A Survey on Vulnerability of Federated Learning: A Learning Algorithm PerspectiveCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
A2XP: Towards Private Domain GeneralizationCode1
Federated Learning for Generalization, Robustness, Fairness: A Survey and BenchmarkCode1
Data Valuation and Detections in Federated LearningCode1
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language ModelsCode1
Continual atlas-based segmentation of prostate MRICode1
Exploring Federated Unlearning: Review, Comparison, and InsightsCode1
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryCode1
Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion ModelsCode1
Split-and-Denoise: Protect large language model inference with local differential privacyCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot GenerationCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic EncryptionCode1
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation LearningCode1
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsCode1
Split Without a Leak: Reducing Privacy Leakage in Split LearningCode1
A Survey for Federated Learning Evaluations: Goals and MeasuresCode1
Unlocking Accuracy and Fairness in Differentially Private Image ClassificationCode1
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack DetectionCode1
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a ServiceCode1
Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta LearningCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
Randomized algorithms for precise measurement of differentially-private, personalized recommendationsCode1
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private MechanismsCode1
ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram DigitizationCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
MMASD: A Multimodal Dataset for Autism Intervention AnalysisCode1
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech SignalsCode1
GPFedRec: Graph-guided Personalization for Federated RecommendationCode1
A Platform for the Biomedical Application of Large Language ModelsCode1
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise HeterogeneityCode1
Adversarially-Guided Portrait MattingCode1
3DoF Localization from a Single Image and an Object Map: the Flatlandia Problem and DatasetCode1
Reinforcement Learning-Based Black-Box Model Inversion AttacksCode1
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good TeacherCode1
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesCode1
Multi-metrics adaptively identifies backdoors in Federated learningCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 CitiesCode1
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx modelsCode1
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