
Deployable Machine Learning for Security Defense
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.
- Alaotsikko
- First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
- Toimittaja
- Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
- Painos
- 1st ed. 2020
- ISBN
- 9783030596200
- Kieli
- englanti
- Paino
- 310 grammaa
- Julkaisupäivä
- 18.10.2020
- Kustantaja
- Springer Nature Switzerland AG
- Sivumäärä
- 165