Attack to fool and explain deep networks

N Akhtar, MAAK Jalwana… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …
被引用次数：35 相关文章

Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun… - IEEE Transactions on …, 2022 - dl.acm.org
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

Attack to Fool and Explain Deep Networks

N Akhtar, M Jalwana… - IEEE …, 2022 - research-repository.uwa.edu.au
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana… - … on pattern analysis …, 2022 - pubmed.ncbi.nlm.nih.gov
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun… - arXiv preprint arXiv …, 2021 - arxiv.org
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun… - IEEE Transactions on …, 2022 - computer.org
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

[引用][C] Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun… - IEEE Transactions on …, 2022 - cir.nii.ac.jp
Attack to Fool and Explain Deep Networks | CiNii Research CiNii 国立情報学研究所 学術情報
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Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …
[PDF] researchgate.net

[PDF][PDF] Attack to Fool and Explain Deep Networks

N Akhtar, MAAK Jalwana, M Bennamoun, A Mian - researchgate.net
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …

Attack to Fool and Explain Deep Networks.

N Akhtar, M Jalwana, M Bennamoun… - IEEE Transactions on …, 2022 - europepmc.org
Deep visual models are susceptible to adversarial perturbations to inputs. Although these
signals are carefully crafted, they still appear noise-like patterns to humans. This observation …