SOTAVerified

Privacy Preserving

Papers

Showing 101–125 of 2975 papers

TitleStatusHype
Privacy-Preserving Peer-to-Peer Energy Trading via Hybrid Secure Computations—0
Synergising Hierarchical Data Centers and Power Networks: A Privacy-Preserving Approach—0
Model Agnostic Differentially Private Causal Inference—0
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare—0
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning—0
Federated Learning: From Theory to Practice—0
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated LearningCode0
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge CollaborationCode0
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control—0
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications—0
Federated Retrieval-Augmented Generation: A Systematic Mapping Study—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs—0
AIDRIN 2.0: A Framework to Assess Data Readiness for AI—0
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation—0
Joint Relational Database Generation via Graph-Conditional Diffusion Models—0
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization—0
Privacy-Preserving Conformal Prediction Under Local Differential PrivacyCode0
Pura: An Efficient Privacy-Preserving Solution for Face Recognition—0
Privacy Preserving Conversion Modeling in Data Clean Room—0
Can Large Language Models Really Recognize Your Name?Code0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
Exploring Federated Pruning for Large Language ModelsCode0
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning—0
SMOTExT: SMOTE meets Large Language ModelsCode0
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