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I'm working on Adversarial Machine Learning, and have read multiple papers on this topic, some of them are mentioned as follows:

However, I am not able to find any literature on data poisoning for SVMs using Manifold regularization. Is there anyone who has knowledge about that?

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I think, one could generate a data set, with a random variable in each component of the data vector, add this data to the training data set, and then shuffle the combined data set.

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    $\begingroup$ Can you please clarify how this answers the question? $\endgroup$
    – nbro
    Mar 10, 2020 at 1:00

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