no code implementations • 3 May 2021 • Camilo Pestana, Wei Liu, David Glance, Robyn Owens, Ajmal Mian
We discuss how we can exploit these insights to re-think, or avoid, some patterns that might contribute to, or degrade, the detectability of objects in the real-world.
1 code implementation • 5 Nov 2020 • Camilo Pestana, Wei Liu, David Glance, Ajmal Mian
We propose three metrics to determine the proportion of robust images in a dataset and provide scoring to determine the dataset bias.
1 code implementation • 25 Feb 2020 • Camilo Pestana, Naveed Akhtar, Wei Liu, David Glance, Ajmal Mian
Our results show that our approach achieves the best balance between defence against adversarial attacks such as FGSM, PGD and DDN and maintaining the original accuracies of VGG-16, ResNet50 and DenseNet121 on clean images.