A Taxonomy and Survey of Attacks Against Machine Learning
(2019)
Journal Article
Pitropakis, N., Panaousis, E., Giannetsos, T., Anastasiadis, E., & Loukas, G. (2019). A Taxonomy and Survey of Attacks Against Machine Learning. Computer Science Review, 34, https://doi.org/10.1016/j.cosrev.2019.100199
The majority of machine learning methodologies operate with the assumption that their environment is benign. However, this assumption does not always hold, as it is often advantageous to adversaries to maliciously modify the training (poisoning attac... Read More about A Taxonomy and Survey of Attacks Against Machine Learning.