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Privacy Preserving

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Showing 1001–1050 of 2975 papers

TitleStatusHype
Privacy-Preserving Language Model Inference with Instance Obfuscation—0
Differentially Private Distributed InferenceCode0
Differentially Private Training of Mixture of Experts Models—0
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningCode3
Systematic Assessment of Tabular Data Synthesis AlgorithmsCode1
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization—0
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated LearningCode1
Version age-based client scheduling policy for federated learning—0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models—0
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMsCode1
Disparate Impact on Group Accuracy of Linearization for Private InferenceCode0
Estimation of conditional average treatment effects on distributed confidential data—0
On the Impact of Output Perturbation on Fairness in Binary Linear Classification—0
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations—0
Federated Learning with New Knowledge: Fundamentals, Advances, and FuturesCode2
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference—0
Privacy-Preserving Distributed Learning for Residential Short-Term Load ForecastingCode0
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays—0
TransFR: Transferable Federated Recommendation with Pre-trained Language Models—0
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion AttacksCode0
Privacy-preserving data release leveraging optimal transport and particle gradient descentCode0
De-identification is not always enough—0
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital DataCode0
Dataset Condensation Driven Machine UnlearningCode0
Improved Scene Landmark Detection for Camera LocalizationCode2
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model—0
Federated unsupervised random forest for privacy-preserving patient stratification—0
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control—0
Privacy-Preserving Cross-Domain Sequential RecommendationCode0
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic EncryptionCode0
Deep Variational Privacy Funnel: General Modeling with Applications in Face RecognitionCode0
P3LS: Partial Least Squares under Privacy Preservation—0
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation—0
Prompt-enhanced Federated Content Representation Learning for Cross-domain RecommendationCode1
Decentralized Federated Learning: A Survey on Security and Privacy—0
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain—0
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning—0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress DetectionCode0
Inference Attacks Against Face Recognition Model without Classification Layers—0
Wasserstein Differential PrivacyCode0
Declarative Privacy-Preserving Inference Queries—0
NEUROSEC: FPGA-Based Neuromorphic Audio Security—0
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach—0
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing—0
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph EnhancementCode0
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection—0
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities—0
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks—0
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