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Privacy Preserving

Papers

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Showing 801–850 of 2975 papers

TitleStatusHype
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning—0
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-Preserving Federated Learning with Differentially Private Hyperdimensional Computing—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—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
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation—0
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edgeCode0
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT NetworksCode0
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
Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy—0
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs—0
Preserving Privacy in Cloud-based Data-Driven StabilizationCode0
Network Inversion for Training-Like Data Reconstruction—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning—0
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis—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
Privacy-Preserving Synthetically Augmented Knowledge Graphs with Semantic Utility—0
First-Person Fairness in Chatbots—0
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationCode0
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank AdaptationCode0
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network—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
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