Deployable Machine Learning for Security Defense

TRAMA

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.

SOMMARIO

Understanding the Adversaries.- Adversarial ML for Better Security.- Threats on Networks.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030596200
• Collana: Communications in Computer and Information Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: VII, 165 p. 170 illus., 45 illus. in color.
• Pagine Arabe: 165
• Pagine Romane: vii