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Trustworthy AI for secure and robust machine learning through blockchain enabled data integrity

Abstract Modern machine learning (ML) systems, especially those trained or updated across multiple parties, are vulnerable to data poisoning, model theft, and adversarial manipulation when provenance and update integrity are not verifiable. Blockchain technology, renowned for its immutability, trans...

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Principais autores: Seid Mehammed Abdu, Girma Bewuketu, Demeke Getaneh, Md Nasre Alam, Armilyn Cosico Fernandez, Anna Beth Amante Basco, Zafrul Hasan, Mohammad Serajuddin
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2026-05-01
Serier:Discover Artificial Intelligence
Fag:
Machine learning
Blockchain
Data integrity
Federated learning
Trustworthy AI
Cybersecurity
Online adgang:https://doi.org/10.1007/s44163-026-01443-5
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