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Privacy Preserving

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Showing 551–600 of 2975 papers

TitleStatusHype
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry—0
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—0
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing—0
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT NetworksCode0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation—0
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic CommunicationsCode0
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI—0
Privacy-Preserving Dynamic Assortment Selection—0
OPA: One-shot Private Aggregation with Single Client Interaction and its Applications to Federated Learning—0
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse—0
Auditing f-Differential Privacy in One Run—0
On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning—0
Props for Machine-Learning Security—0
A Novel Multimodal System to Predict Agitation in People with Dementia Within Clinical Settings: A Proof of Concept—0
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation—0
Collaborative Inference over Wireless Channels with Feature Differential Privacy—0
Privacy-Preserving Federated Learning via Dataset Distillation—0
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples—0
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning—0
Differentially Private Learning Needs Better Model Initialization and Self-DistillationCode0
Preserving Privacy in Cloud-based Data-Driven StabilizationCode0
Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs—0
Network Inversion for Training-Like Data Reconstruction—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer—0
FedSpaLLM: Federated Pruning of Large Language Models—0
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition—0
Privacy-Preserving Decentralized AI with Confidential Computing—0
First-Person Fairness in Chatbots—0
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network—0
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank AdaptationCode0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility—0
Position: On-Premises LLM Deployment Demands a Middle Path: Preserving Privacy Without Sacrificing Model ConfidentialityCode0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
Data Quality Control in Federated Instruction-tuning of Large Language Models—0
Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation—0
Model-based Large Language Model Customization as Service—0
CollabEdit: Towards Non-destructive Collaborative Knowledge EditingCode0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
Privacy-Preserving Optimal State Estimation with Low Complexity via Cramér-Rao Lower Bound Approach—0
Dynamic Fusion Strategies for Federated Multimodal Recommendations—0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
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