All Outputs (2)

Structure Estimation of Adversarial Distributions for Enhancing Model Robustness: A Clustering-Based Approach (2023)
Journal Article
Rasheed, B., Khan, A., & Masood Khattak, A. (2023). Structure Estimation of Adversarial Distributions for Enhancing Model Robustness: A Clustering-Based Approach. Applied Sciences, 13(19), Article 10972. https://doi.org/10.3390/app131910972

In this paper, we propose an advanced method for adversarial training that focuses on leveraging the underlying structure of adversarial perturbation distributions. Unlike conventional adversarial training techniques that consider adversarial example... Read More about Structure Estimation of Adversarial Distributions for Enhancing Model Robustness: A Clustering-Based Approach.

Overhead Based Cluster Scheduling of Mixed Criticality Systems on Multicore Platform (2023)
Journal Article
Ali, A., Khattak, A. M., Iqbal, S., Alfandi, O., Hayat, B., Siddiqi, M. H., & Khan, A. (2023). Overhead Based Cluster Scheduling of Mixed Criticality Systems on Multicore Platform. IEEE Access, 11, 142341-142359. https://doi.org/10.1109/ACCESS.2023.3330973

The cluster-based technique is gaining focus for scheduling tasks of mixed-criticality (MC) real-time multicore systems. In this technique, the cores of the MC system are distributed in groups known as clusters. When all cores are distributed in clus... Read More about Overhead Based Cluster Scheduling of Mixed Criticality Systems on Multicore Platform.