A Robust Approach to Adversarial Attack on Tabular Data for Classification Algorithm Testing

Ju, Lunhao; Cui, Ruijing; Sun, Jianbin; Li, Zituo

doi:10.1109/bigdia56350.2022.9874200

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A Robust Approach to Adversarial Attack on Tabular Data for Classification Algorithm Testing

Cited by 2 publications

References 3 publications

ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM

ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM

Investigation of the Security of ML-models in IoT Networks from Adversarial Attacks

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