| Issue |
Security and Safety
Volume 3, 2024
Security and Safety in Artificial Intelligence
|
|
|---|---|---|
| Article Number | E2024021 | |
| Number of page(s) | 2 | |
| DOI | https://doi.org/10.1051/sands/2024021 | |
| Published online | 31 October 2024 | |
- Zhang F, Chen X and Huang W et al. Harnessing dynamic heterogeneous redundancy to empower deep learning safety and security. Secur Saf 2024; 3: 2024011. https://doi.org/10.1051/sands/2024011 [Google Scholar]
- Kluver C, Greisbach A and Kindermann M et al. A requirements model for ai algorithms in functional safety-critical systems with an explainable self-enforcing network. Secur Saf 2024; 3: 2024020. https://doi.org/10.1051/sands/2024020 [Google Scholar]
- Wang H. Safety-critical nonlinear optimal predictive control with adaptive error elimination algorithm for robotic systems. Secur Saf 2024; 3: 2024016. https://doi.org/10.1051/sands/2024016 [Google Scholar]
- Li Z, Liu Y and Li J et al. VAEFL: Integrating variational autoencoders for privacy preservation and performance retention in federated learning. Secur Saf 2024; 3: 2024005. https://doi.org/10.1051/sands/2024005 [Google Scholar]
- Chen WW, Yan J and Huang W et al. Robust object detection for autonomous driving based on semi-supervised learning. Secur Saf 2024; 3: 2024002. https://doi.org/10.1051/sands/2024002 [Google Scholar]
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