Answers.Body: <p>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.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-03-10T01:00:10.883Z
Answers.Text: Can you please clarify how this answers the question?
Answers.UserDisplayName: nbro
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-03-09T16:01:34.377Z
Answers.LastActivityDate: 2020-03-09T16:01:34.377Z
Answers.UserDisplayName: Jerry B
Body: <p>I'm working on Adversarial Machine Learning, and have read multiple papers on this topic, some of them are mentioned as follows:</p>
  
  <ul>
  <li>Poisoning Attacks on SVMs: <a href="https://arxiv.org/pdf/1206.6389.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1206.6389.pdf</a></li>
  <li>Adversarial Label Flips on Support Vector Machines</li>
  </ul>
  
  <p>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?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2020-03-08T06:46:24.103Z
Comments.Text: I found the following Youtube video: [Poisoning Attacks against Support Vector Machines](https://www.youtube.com/watch?v=8dBasP-rhlY). Is it close to what you are looking for?
Comments.UserDisplayName: CoffeeBaconAddict
Tags: <machine-learning><regularization><support-vector-machine><adversarial-ml><causation>
Title: How do I poison an SVM with manifold regularization?
UserDisplayName: boomselector
ThreadText: # How do I poison an SVM with manifold regularization?
  
  (Asked by: username_0 on 2020-02-18)
  
  I'm working on Adversarial Machine Learning, and have read multiple papers on this topic, some of them are mentioned as follows:
  
  * Poisoning Attacks on SVMs: <https://arxiv.org/pdf/1206.6389.pdf>
  * Adversarial Label Flips on Support Vector Machines
  
  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?
  
  **Tags:** machine-learning, regularization, support-vector-machine, adversarial-ml, causation
  > **Comments:**
  > **username_1**: I found the following Youtube video: [Poisoning Attacks against Support Vector Machines](https://www.youtube.com/watch?v=8dBasP-rhlY). Is it close to what you are looking for?  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2020-03-09. Score: 0
  
  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.
  
  > **Comments:**
  > **username_3**: Can you please clarify how this answers the question?  
  
  ---
  
  