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Can I read Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications ... Computer and Information Science Book 1271) on EtoBox?
Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications ... Computer and Information Science Book 1271) by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh is a nonfiction available to read on EtoBox.
What is Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications ... Computer and Information Science Book 1271) about?
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.
Who reads Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications ... Computer and Information Science Book 1271)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
- Publisher
- Springer International Publishing AG; Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030596200
- Category
- nonfiction
- Subjects
- Computer Science, True Crime, Science
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