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Privacy Preserving

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Showing 326–350 of 2975 papers

TitleStatusHype
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference—0
Acoustic scattering AI for non-invasive object classifications: A case study on hair assessment—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains—0
Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future Promises—0
Privacy-Preserving Federated Learning against Malicious Clients Based on Verifiable Functional Encryption—0
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis—0
A Transfer Learning Framework for Multilayer Networks via Model Averaging—0
SecONNds: Secure Outsourced Neural Network Inference on ImageNetCode0
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning—0
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols—0
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models—0
Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches—0
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck—0
Are Trees Really Green? A Detection Approach of IoT Malware Attacks—0
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulatorCode0
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based SystemsCode0
Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning—0
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification—0
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR—0
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models—0
PixCell: A generative foundation model for digital histopathology images—0
Gradient Inversion Attacks on Parameter-Efficient Fine-TuningCode0
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets—0
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification—0
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