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Regulation of Adversarial Machine Learning Attacks in the EU

  • Writer: CC-DRIVER
    CC-DRIVER
  • Nov 3, 2022
  • 1 min read

Adversarial machine learning attacks (AMLAs) is an umbrella term for a variety of cyber-attacks that revolve around machine learning systems, most often impairing the latter’s functioning or obtaining new information in an unauthorised manner. One of the key characteristics of machine learning systems is that they adapt themselves to the queries, results and feedback they receive while operating; and this continuous drive towards improvement is what makes them so valuable, but also vulnerable.


The sixth CC-DRIVER policy brief presents the nature of AMLAs, human drivers and legal challenges, and discusses current EU law and AI regulation.



Download the full brief here. Interested in our other policy briefs? Find them here.


 
 
 

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The content of this website reflects only the CC-DRIVER project group’s views. Neither the European Commission nor the Research Executive Agency is liable for any use that may be made of the information contained herein.

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This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 883543.

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