Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Adversary-Aware Learning Techniques and Trends in Cybersecurity

Adversary-Aware Learning Techniques and Trends in Cybersecurity

Dasgupta, Prithviraj
Collins, Joseph B.
Mittu, Ranjeev

Paperback

General ComputersComputer Security

ISBN10: 3030556948
ISBN13: 9783030556945
Publisher: Springer Nature
Published: Jan 23 2022
Pages: 227
Weight: 0.75
Height: 0.51 Width: 6.14 Depth: 9.21
Language: English
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.

1 different editions

Also available

Also from

Dasgupta, Prithviraj

View All

Also in

General Computers

View All