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Privacy Preserving

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Showing 951–1000 of 2975 papers

TitleStatusHype
Empowering Healthcare through Privacy-Preserving MRI Analysis—0
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios—0
Quantifying and Mitigating Privacy Risks for Tabular Generative Models—0
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism—0
SoK: Can Trajectory Generation Combine Privacy and Utility?Code1
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning—0
Privacy-Preserving Diffusion Model Using Homomorphic EncryptionCode1
Federated Learning Method for Preserving Privacy in Face Recognition System—0
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival DataCode0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Privacy-preserving Fine-tuning of Large Language Models through Flatness—0
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification—0
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation—0
Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training—0
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures—0
A Federated Deep Learning Approach for Privacy-Preserving Real-Time Transient Stability Predictions in Power Systems—0
Design of Stochastic Quantizers for Privacy Preservation—0
Towards Robust Federated Learning via Logits Calibration on Non-IID Data—0
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal DecouplingCode1
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Differentially Private Synthetic Data via Foundation Model APIs 2: TextCode2
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild—0
Differentially Private Knowledge Distillation via Synthetic Text GenerationCode0
Privacy-Preserving Distributed Optimization and Learning—0
Privacy-Preserving Autoencoder for Collaborative Object DetectionCode0
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from SpeechCode0
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey—0
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology—0
RVE-PFL: Robust Variational Encoder-based Personalised Federated Learning against Model Inversion AttacksCode0
opp/ai: Optimistic Privacy-Preserving AI on Blockchain—0
On the Conflict of Robustness and Learning in Collaborative Machine Learning—0
Privacy-Preserving Instructions for Aligning Large Language Models—0
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records—0
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion ModelsCode0
Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2—0
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports—0
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 privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research—0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
User Modeling and User Profiling: A Comprehensive Survey—0
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets—0
A Federated Framework for LLM-based RecommendationCode0
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
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