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Privacy Preserving

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Showing 1151–1200 of 2975 papers

TitleStatusHype
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN—0
Bridging Privacy and Robustness for Trustworthy Machine Learning—0
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization—0
Privacy-Preserving End-to-End Spoken Language Understanding—0
Contrastive Learning on Multimodal Analysis of Electronic Health Records—0
A Control-Recoverable Added-Noise-based Privacy Scheme for LQ Control in Networked Control Systems—0
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?—0
Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Low-Cost Privacy-Preserving Decentralized Learning—0
Improving LoRA in Privacy-preserving Federated Learning—0
Double-Private Distributed Estimation Algorithm Using Differential Privacy and a Key-Like Proportionate Matrix with Its Performance Analysis—0
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationCode0
Edge Private Graph Neural Networks with Singular Value Perturbation—0
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videosCode0
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack—0
Empowering Healthcare through Privacy-Preserving MRI Analysis—0
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios—0
A Framework for Cost-Effective and Self-Adaptive LLM Shaking and Recovery Mechanism—0
Quantifying and Mitigating Privacy Risks for Tabular Generative Models—0
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning—0
Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival DataCode0
Federated Learning Method for Preserving Privacy in Face Recognition System—0
Architectural Blueprint For Heterogeneity-Resilient Federated Learning—0
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
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference AttacksCode0
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 Autoencoder for Collaborative Object DetectionCode0
Privacy-Preserving Distributed Optimization and Learning—0
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
opp/ai: Optimistic Privacy-Preserving AI on Blockchain—0
RVE-PFL: Robust Variational Encoder-based Personalised Federated Learning against Model Inversion AttacksCode0
Privacy-Preserving Instructions for Aligning Large Language Models—0
On the Conflict of Robustness and Learning in Collaborative Machine Learning—0
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records—0
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
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion ModelsCode0
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