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20222026
most citedSurvey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges

52 citations · 60 across the 15 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023

Releasing Inequality Phenomenon in -norm Adversarial Training via Input Gradient Distillation

Junxi Chen, Junhao Dong, Xiaohua Xie +1

Adversarial training (AT) is considered the most effective defense against adversarial attacks. However, a recent study revealed that \(\ell_{\infty}\)-norm adversarial training (\…

eess.IV2023★ 52 cited

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges

Junhao Dong, Junxi Chen, Xiaohua Xie +2

Deep learning techniques have achieved superior performance in computer-aided medical image analysis, yet they are still vulnerable to imperceptible adversarial attacks, resulting…