Adversary-Aware Learning Techniques and Trends in Cybersecurity
Prithviraj Dasgupta, Joseph B. Collins, Ranjeev Mittu
Informasi Umum
Kode
22.21.1546
Klasifikasi
005.8 - Data Security
Jenis
Buku - Elektronik (E-Book)
Subjek
Data Security, Computer Security,
No. Rak
Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 2
Dilihat
69 kali
Informasi Lainnya
Abstraksi
This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
Koleksi & Sirkulasi
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Pengarang
| Nama | Prithviraj Dasgupta, Joseph B. Collins, Ranjeev Mittu |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer Nature Switzerland AG |
| Kota | Switzerland |
| Tahun | 2021 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
