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Privacy Preserving

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Showing 251–275 of 2975 papers

TitleStatusHype
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation—0
Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices—0
Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service DetectionCode1
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm—0
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments—0
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning—0
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation—0
GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation—0
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs—0
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning—0
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models—0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
A Survey on Federated Fine-tuning of Large Language ModelsCode2
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation—0
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders—0
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling—0
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion AttacksCode1
PluralLLM: Pluralistic Alignment in LLMs via Federated Learning—0
Optimal Privacy-Preserving Distributed Median Consensus—0
Faithful and Privacy-Preserving Implementation of Average Consensus—0
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative ModelsCode0
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos—0
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