Arp, Daniel;
Quiring, Erwin;
Pendlebury, Feargus;
Warnecke, Alexander;
Pierazzi, Fabio;
Wressnegger, Christian;
Cavallaro, Lorenzo;
(2023)
Lessons Learned on Machine Learning for Computer Security.
IEEE Security & Privacy
, 21
(5)
pp. 72-77.
10.1109/msec.2023.3287207.
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Abstract
We identify 10 generic pitfalls that can affect the experimental outcome of AI driven solutions in computer security. We find that they are prevalent in the literature and provide recommendations for overcoming them in the future.
| Type: | Article |
|---|---|
| Title: | Lessons Learned on Machine Learning for Computer Security |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/msec.2023.3287207 |
| Publisher version: | https://doi.org/10.1109/MSEC.2023.3287207 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10176802 |
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