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Privacy Preserving

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Showing 51–100 of 2975 papers

TitleStatusHype
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Encryption-Friendly LLM ArchitectureCode1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
Active Membership Inference Attack under Local Differential Privacy in Federated LearningCode1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding AggregationCode1
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
EasyFL: A Low-code Federated Learning Platform For DummiesCode1
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News RecommendationCode1
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and BenchmarkCode1
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated DistillationCode1
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
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and ReleaseCode1
DistFL: Distribution-aware Federated Learning for Mobile ScenariosCode1
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data GenerationCode1
Differentially Private Federated Learning: A Client Level PerspectiveCode1
Differentially Private Optimization on Large Model at Small CostCode1
Dual Personalization on Federated RecommendationCode1
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
Data Valuation and Detections in Federated LearningCode1
DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationCode1
DeceFL: A Principled Decentralized Federated Learning FrameworkCode1
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
CTAB-GAN+: Enhancing Tabular Data SynthesisCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
Position: Considerations for Differentially Private Learning with Large-Scale Public PretrainingCode1
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
Continual atlas-based segmentation of prostate MRICode1
CipherPrune: Efficient and Scalable Private Transformer InferenceCode1
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial IntelligenceCode1
Concentrated Differential Privacy: Simplifications, Extensions, and Lower BoundsCode1
Adversarially-Guided Portrait MattingCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning ApproachesCode1
Adversarial Privacy Preserving Graph Embedding against Inference AttackCode1
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author ProfilingCode1
A Comprehensive Survey of Synthetic Tabular Data GenerationCode1
A2XP: Towards Private Domain GeneralizationCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New BaselineCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain ActivitiesCode1
Differential Privacy for Text Analytics via Natural Text SanitizationCode1
Domain-Invariant Representation Learning from EEG with Private EncodersCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
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