Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples

no code implementations • 7 Oct 2020 • Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici

We, however, argue that machine learning models trained on heterogeneous tabular data are as susceptible to adversarial manipulations as those trained on continuous or homogeneous data such as images.

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