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Author: Sella Nevo
Publisher: Rand Corporation
ISBN: 1977413374
Category : Computers
Languages : en
Pages : 130
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Book Description
The authors describe how to secure the weights of frontier artificial intelligence and machine learning models (that is, models that match or exceed the capabilities of the most advanced models at the time of their development).
Author: Sella Nevo
Publisher: Rand Corporation
ISBN: 1977413374
Category : Computers
Languages : en
Pages : 130
Get Book Here
Book Description
The authors describe how to secure the weights of frontier artificial intelligence and machine learning models (that is, models that match or exceed the capabilities of the most advanced models at the time of their development).
Author: Michael Bergman
Publisher: Michael Bergman
ISBN:
Category : Computers
Languages : en
Pages : 118
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Book Description
AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005". It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes.
Author: Sella Nevo
Publisher: Rand Corporation
ISBN: 1977413722
Category : Computers
Languages : en
Pages : 259
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Book Description
As frontier artificial intelligence (AI) models—that is, models that match or exceed the capabilities of the most advanced models at the time of their development—become more capable, protecting them from theft and misuse will become more important. The authors of this report explore what it would take to protect model weights—the learnable parameters that encode the core intelligence of an AI—from theft by a variety of potential attackers.
Author: Steve Wilson
Publisher: "O'Reilly Media, Inc."
ISBN: 1098162161
Category : Computers
Languages : en
Pages : 197
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Book Description
Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models. Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI. You'll learn: Why LLMs present unique security challenges How to navigate the many risk conditions associated with using LLM technology The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained How to identify the top risks and vulnerabilities associated with LLMs Methods for deploying defenses to protect against attacks on top vulnerabilities Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization
Author: Manda Raz
Publisher: Springer Nature
ISBN: 9811912238
Category : Medical
Languages : en
Pages : 255
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Book Description
This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.
Author: Ken Huang
Publisher: Springer Nature
ISBN: 3031580028
Category :
Languages : en
Pages : 293
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Book Description
Author: Chaminda Hewage
Publisher: Springer Nature
ISBN: 981973973X
Category :
Languages : en
Pages : 546
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Book Description
Author: Michael Karner
Publisher: Springer Nature
ISBN: 3031540492
Category :
Languages : en
Pages : 446
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Book Description
Author: Jan Mazal
Publisher: Springer Nature
ISBN: 3031312686
Category : Computers
Languages : en
Pages : 349
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Book Description
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2022, held MESAS 2022, Prague, Czech Republic, October 2022. The 21 full papers included in the volume were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Modelling, Simulation Technology, methodologies and Robotics.
Author: Mark Stamp
Publisher: Springer Nature
ISBN: 3030970876
Category : Computers
Languages : en
Pages : 388
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Book Description
This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.
