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2020 – today
- 2022
[c5]Camilo Pestana, Naveed Akhtar
, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian:
Transferable 3D Adversarial Textures using End-to-end Optimization. WACV 2022: 727-736- 2021
- [c4]Camilo Pestana, Ajmal Mian:
Attacking Image Classifiers To Generate 3D Textures. 3DV 2021: 1115-1124 - [c3]Camilo Pestana, Wei Liu, David G. Glance, Robyn A. Owens, Ajmal Mian:
Assistive Signals for Deep Neural Network Classifiers. CVPR Workshops 2021: 1221-1225 - [c2]Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images. IJCNN 2021: 1-9 - [c1]Camilo Pestana, Wei Liu, David G. Glance, Ajmal Mian:
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty. WACV 2021: 556-565 - [i3]Camilo Pestana, Wei Liu, David G. Glance, Robyn A. Owens, Ajmal Mian:
Physical world assistive signals for deep neural network classifiers - neither defense nor attack. CoRR abs/2105.00622 (2021) - 2020
- [i2]Camilo Pestana, Naveed Akhtar, Wei Liu, David G. Glance, Ajmal Mian:
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space. CoRR abs/2003.00883 (2020) - [i1]Camilo Pestana, Wei Liu, David G. Glance, Ajmal Mian:
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty. CoRR abs/2011.02675 (2020)
Coauthor Index
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