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Author: David J. Miller
Publisher: Cambridge University Press
ISBN: 1009315676
Category : Computers
Languages : en
Pages : 375
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Book Description
The first textbook on adversarial machine learning, including both attacks and defenses, background material, and hands-on student projects.
Author: David J. Miller
Publisher: Cambridge University Press
ISBN: 1009315676
Category : Computers
Languages : en
Pages : 375
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Book Description
The first textbook on adversarial machine learning, including both attacks and defenses, background material, and hands-on student projects.
Author: Pradeep Kumar Jha
Publisher: Springer Nature
ISBN: 9819951801
Category : Technology & Engineering
Languages : en
Pages : 675
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Book Description
This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering “Congress on Control, Robotics, and Mechatronics” (CRM 2023), jointly organized by Modi Institute of Technology, Kota, India, and Soft Computing Research Society, India, during 25–26 March 2023. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.
Author: John Sotiropoulos
Publisher: Packt Publishing Ltd
ISBN: 1835088678
Category : Computers
Languages : en
Pages : 586
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Book Description
Understand how adversarial attacks work against predictive and generative AI, and learn how to safeguard AI and LLM projects with practical examples leveraging OWASP, MITRE, and NIST Key Features Understand the connection between AI and security by learning about adversarial AI attacks Discover the latest security challenges in adversarial AI by examining GenAI, deepfakes, and LLMs Implement secure-by-design methods and threat modeling, using standards and MLSecOps to safeguard AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAdversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips cybersecurity professionals with the skills to secure AI technologies, moving beyond research hype or business-as-usual strategies. The strategy-based book is a comprehensive guide to AI security, presenting a structured approach with practical examples to identify and counter adversarial attacks. This book goes beyond a random selection of threats and consolidates recent research and industry standards, incorporating taxonomies from MITRE, NIST, and OWASP. Next, a dedicated section introduces a secure-by-design AI strategy with threat modeling to demonstrate risk-based defenses and strategies, focusing on integrating MLSecOps and LLMOps into security systems. To gain deeper insights, you’ll cover examples of incorporating CI, MLOps, and security controls, including open-access LLMs and ML SBOMs. Based on the classic NIST pillars, the book provides a blueprint for maturing enterprise AI security, discussing the role of AI security in safety and ethics as part of Trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI systems effectively.What you will learn Understand poisoning, evasion, and privacy attacks and how to mitigate them Discover how GANs can be used for attacks and deepfakes Explore how LLMs change security, prompt injections, and data exposure Master techniques to poison LLMs with RAG, embeddings, and fine-tuning Explore supply-chain threats and the challenges of open-access LLMs Implement MLSecOps with CIs, MLOps, and SBOMs Who this book is for This book tackles AI security from both angles - offense and defense. AI builders (developers and engineers) will learn how to create secure systems, while cybersecurity professionals, such as security architects, analysts, engineers, ethical hackers, penetration testers, and incident responders will discover methods to combat threats and mitigate risks posed by attackers. The book also provides a secure-by-design approach for leaders to build AI with security in mind. To get the most out of this book, you’ll need a basic understanding of security, ML concepts, and Python.
Author: Mohamed Mosbah
Publisher: Springer Nature
ISBN: 3031557298
Category :
Languages : en
Pages : 255
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Book Description
Author: Chunhua Su
Publisher: Springer Nature
ISBN: 9811977690
Category : Computers
Languages : en
Pages : 232
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Book Description
This volume constitutes the papers of several workshops which were held in conjunction with the 4th International Conference on Science of Cyber Security Workshops, SciSec 2022, held in Matsue, Japan, in August 10–12, 2022. The 15 revised full papers and 3 posters were presented in this book were carefully reviewed and selected from 30 submissions.They were organized in topical sections as follows: AI Crypto and Security Workshop (AI-CryptoSec); Theory and Application of Blockchain and NFT Workshop (TA-BC-NFT); and Mathematical Science of Quantum Safety and its Application Workshop (MathSci-Qsafe).
Author: Chinmay Chakraborty
Publisher: CRC Press
ISBN: 1040017045
Category : Computers
Languages : en
Pages : 293
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Book Description
The objective of the conference is to bring to focus the recent technological advancements across all the stages of data analysis including acquisition, processing, and communication. Advancements in acquisition sensors along with improved storage and computational capabilities, have stimulated the progress in theoretical studies and state-of-the-art real-time applications involving large volumes of data. This compels researchers to investigate the new challenges encountered, where traditional approaches are incapable of dealing with large, complicated new forms of data.
Author: Lekshmi Kalinathan
Publisher: Springer Nature
ISBN: 3031163648
Category : Computers
Languages : en
Pages : 381
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Book Description
This book constitutes the refereed post-conference proceedings of the Fifth IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2022, held virtually, in March 2022. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analysis; blockchain and data science.
Author: S Vijayalakshmi
Publisher: CRC Press
ISBN: 1003815537
Category : Computers
Languages : en
Pages : 187
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Book Description
The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing. Salient Features: • Combines AI for both cyber defense and smart policing in one place. • Covers novel strategies in future to help cybercrime examinations and police. • Discusses different AI models to fabricate more exact techniques. • Elaborates on problematization and international issues. • Includes case studies and real-life examples. This book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.
Author: Xin-She Yang
Publisher: Springer Nature
ISBN: 9819732891
Category :
Languages : en
Pages : 670
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Book Description
Author: Michael Bailey
Publisher: Springer
ISBN: 3030004708
Category : Computers
Languages : en
Pages : 710
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Book Description
This book constitutes the refereed proceedings of the 21st International Symposium on Research in Attacks, Intrusions, and Defenses, RAID 2018, held in Heraklion, Crete, Greece, in September 2018. The 32 revised full papers were carefully reviewed and selected from 145 submissions. They are organized in the following topical sections: attacks; intrusion detection and prevention; DDoS attacks; passwords, accounts, and users; machine learning for computer security; hardware-assisted security; software security; malware; IoT/CPS security; security measurements; and defenses.
