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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Seid Mehammed Abdu, Girma Bewuketu, Demeke Getaneh, Md Nasre Alam, Armilyn Cosico Fernandez, Anna Beth Amante Basco, Zafrul Hasan, Mohammad Serajuddin
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Springer 2026-05-01
Serie:	Discover Artificial Intelligence
Ämnen:	Machine learning Blockchain Data integrity Federated learning Trustworthy AI Cybersecurity
Länkar:	https://doi.org/10.1007/s44163-026-01443-5
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!