Maximum mean discrepancy test is aware of adversarial attacks
The maximum mean discrepancy (MMD) test could in principle detect any distributional
discrepancy between two datasets. However, it has been shown that the MMD test is …
discrepancy between two datasets. However, it has been shown that the MMD test is …
[PDF][PDF] Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
R Gao, F Liu, J Zhang, B Han, T Liu, G Niu… - niug1984.github.io
The maximum mean discrepancy (MMD) test could in principle detect any distributional
discrepancy between two datasets. However, it has been shown that the MMD test is …
discrepancy between two datasets. However, it has been shown that the MMD test is …
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
R Gao, F Liu, J Zhang, B Han, T Liu… - International …, 2021 - proceedings.mlr.press
The maximum mean discrepancy (MMD) test could in principle detect any distributional
discrepancy between two datasets. However, it has been shown that the MMD test is …
discrepancy between two datasets. However, it has been shown that the MMD test is …
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
R Gao, F Liu, J Zhang, B Han, T Liu, G Niu… - arXiv e …, 2020 - ui.adsabs.harvard.edu
The maximum mean discrepancy (MMD) test could in principle detect any distributional
discrepancy between two datasets. However, it has been shown that the MMD test is …
discrepancy between two datasets. However, it has been shown that the MMD test is …
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
R Gao, F Liu, J Zhang, B Han, T Liu, G Niu… - arXiv preprint arXiv …, 2020 - arxiv.org
The maximum mean discrepancy (MMD) test could in principle detect any distributional
discrepancy between two datasets. However, it has been shown that the MMD test is …
discrepancy between two datasets. However, it has been shown that the MMD test is …
