Data & IT
Pocket
Deployable Machine Learning for Security Defense
Gang Wang • Arridhana Ciptadi • Ali Ahmadzadeh
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This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. 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.
- Format: Pocket/Paperback
- ISBN: 9783030596200
- Språk: Engelska
- Antal sidor: 165
- Utgivningsdatum: 2020-10-18
- Förlag: Springer Nature Switzerland AG