Deployable Machine Learning for Security Defense Second International Workshop MLHat 2021 Virtual Event August 15 2021 Proceedings Communications in Computer and Information Science Gang Wang – Ebook Instant Download/Delivery ISBN(s): 9783030878382, 3030878384, 9783030878399, 3030878392
Product details:
- ISBN 10: 3030878392
- ISBN 13: 9783030878399
- Author: Gang Wang
This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.
Table contents:
Machine Learning for Security
STAN: Synthetic Network Traffic Generation with Generative Neural Models
Machine Learning for Fraud Detection in E-Commerce: A Research Agenda
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-trained Language Models
Malware Attack and Defense
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection Based on Image Representation of Bytecode
Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability
A Survey on Common Threats in npm and PyPi Registries
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