The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I
650
Machine Learning for Cyber Security: Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part I
650Paperback(1st ed. 2020)
Product Details
| ISBN-13: | 9783030622220 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 11/11/2020 |
| Series: | Lecture Notes in Computer Science , #12486 |
| Edition description: | 1st ed. 2020 |
| Pages: | 650 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |