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Download the fantastic book titled Adversary Aware Learning Techniques and Trends in Cybersecurity written by Prithviraj Dasgupta, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Adversary Aware Learning Techniques and Trends in Cybersecurity", which was released on 22 January 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Adversary Aware Learning Techniques and Trends in Cybersecurity by Prithviraj Dasgupta PDF

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.

Adversary Aware Learning Techniques and Trends in Cybersecurity

Detail About Adversary Aware Learning Techniques and Trends in Cybersecurity PDF

  • Author : Prithviraj Dasgupta
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 229 pages
  • ISBN : 3030556921
  • PDF File Size : 51,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

Adversary-Aware Learning Techniques and Trends in Cybersecurity
  • Publisher : Springer Nature
  • File Size : 38,7 Mb
  • Release Date : 22 January 2021
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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

Adversarial Machine Learning

Adversarial Machine Learning
  • Publisher : Springer Nature
  • File Size : 51,6 Mb
  • Release Date : 06 March 2023
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A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used

Augmented Cognition

Augmented Cognition
  • Publisher : Springer Nature
  • File Size : 21,9 Mb
  • Release Date : 03 July 2021
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This book constitutes the refereed proceedings of the 15th International Conference on Augmented Cognition, AC 2021, held as part of the 23rd International Conference, HCI International 2021, held as a virtual event,

Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops

Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops
  • Publisher : Springer Nature
  • File Size : 31,7 Mb
  • Release Date : 15 October 2023
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This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2023, held in Toulouse, France, during September 19, 2023. The 35 full papers included in this volume were carefully reviewed and

Guide to Cybersecurity in Digital Transformation

Guide to Cybersecurity in Digital Transformation
  • Publisher : Springer Nature
  • File Size : 48,8 Mb
  • Release Date : 18 April 2023
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In today’s digital transformation environments, a rigorous cybersecurity approach to effective risk management — including contingency planning, outlining immediate actions, preparing post-breach responses — is central to defending organizations’ interconnected computer

At the Nexus of Cybersecurity and Public Policy

At the Nexus of Cybersecurity and Public Policy
  • Publisher : National Academies Press
  • File Size : 49,6 Mb
  • Release Date : 16 June 2014
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We depend on information and information technology (IT) to make many of our day-to-day tasks easier and more convenient. Computers play key roles in transportation, health care, banking, and energy.

Cyber Situational Awareness

Cyber Situational Awareness
  • Publisher : Springer Science & Business Media
  • File Size : 32,9 Mb
  • Release Date : 03 October 2009
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Motivation for the Book This book seeks to establish the state of the art in the cyber situational awareness area and to set the course for future research. A multidisciplinary

Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
  • Publisher : John Wiley & Sons
  • File Size : 37,8 Mb
  • Release Date : 08 September 2021
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GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In

Cyber Threat Intelligence

Cyber Threat Intelligence
  • Publisher : Springer
  • File Size : 28,7 Mb
  • Release Date : 27 April 2018
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This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat