Robust adversarial perturbation on deep proposal-based models

Y Li, D Tian, MC Chang, X Bian, S Lyu - arXiv preprint arXiv:1809.05962, 2018 - arxiv.org
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (R-AP) …
被引用次数：118 相关文章
[PDF] researchgate.net

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, MC Chang, X Bian… - arXiv preprint arXiv …, 2018 - researchgate.net
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …
[PDF] albany.edu

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, X Bian, S Lyu - albany.edu
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …
[PDF] bmvc2018.org

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, X Bian, S Lyu - bmvc2018.org
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …
[PDF] bmva-archive.org.uk

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, X Bian, S Lyu - bmva-archive.org.uk
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …
[PDF] buffalo.edu

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, X Bian, S Lyu - cse.buffalo.edu
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …

Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, MC Chang, X Bian, S Lyu - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (R-AP) …
[PDF] missouri.edu

[PDF][PDF] Robust Adversarial Perturbation on Deep Proposal-based Models

Y Li, D Tian, X Bian, S Lyu - vigir.ee.missouri.edu
Adversarial noises are useful tools to probe the weakness of deep learning based computer
vision algorithms. In this paper, we describe a robust adversarial perturbation (RAP) method …