Survey on Blockchain-Enhanced Machine Learning
O Ural, K Yoshigoe - IEEE Access, 2023 - ieeexplore.ieee.org
The convergence of blockchain and Machine Learning (ML) promises to reshape
technological innovation by enhancing security, efficiency, and transparency in ML systems …
technological innovation by enhancing security, efficiency, and transparency in ML systems …
Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism
C Chen, Y Li, Z Wu, M Xu, R Wang… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
With the development of the blockchain technology, a decentralized and de-trusted network
paradigm has been constructed, enabling multiple digital assets like NFT, to be permanently …
paradigm has been constructed, enabling multiple digital assets like NFT, to be permanently …
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
Existing approaches defend against backdoor attacks in federated learning (FL) mainly
through a) mitigating the impact of infected models, or b) excluding infected models. The …
through a) mitigating the impact of infected models, or b) excluding infected models. The …