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Privacy Preserving

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Showing 15811590 of 2975 papers

TitleStatusHype
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm0
Zero redundancy distributed learning with differential privacy0
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV0
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof0
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs0
ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models0
zPROBE: Zero Peek Robustness Checks for Federated Learning0
Reconstruction of Privacy-Sensitive Data from Protected Templates0
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