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Privacy Preserving

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Showing 1201–1250 of 2975 papers

TitleStatusHype
Neuromorphic Face Analysis: a Survey—0
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources—0
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement—0
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection—0
A Federated Framework for LLM-based RecommendationCode0
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research—0
User Modeling and User Profiling: A Comprehensive Survey—0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets—0
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models—0
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption—0
Privacy-Preserving Language Model Inference with Instance Obfuscation—0
Differentially Private Distributed InferenceCode0
Differentially Private Training of Mixture of Experts Models—0
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization—0
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models—0
Version age-based client scheduling policy for federated learning—0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
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
TransFR: Transferable Federated Recommendation with Pre-trained Language Models—0
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays—0
Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference—0
Privacy-Preserving Distributed Learning for Residential Short-Term Load ForecastingCode0
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
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
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation—0
P3LS: Partial Least Squares under Privacy Preservation—0
Decentralized Federated Learning: A Survey on Security and Privacy—0
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress DetectionCode0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning—0
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain—0
Inference Attacks Against Face Recognition Model without Classification Layers—0
Wasserstein Differential PrivacyCode0
NEUROSEC: FPGA-Based Neuromorphic Audio Security—0
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach—0
Declarative Privacy-Preserving Inference Queries—0
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing—0
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