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Author : Shaofeng Li
Publisher : Springer Nature
ISBN 13 : 3031573897
Total Pages : 161 pages
Book Rating : 4.0/5 (315 download)
Download or read book Backdoor Attacks against Learning-Based Algorithms written by Shaofeng Li and published by Springer Nature. This book was released on with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stephan Krenn
Publisher : Springer Nature
ISBN 13 : 3030654117
Total Pages : 634 pages
Book Rating : 4.0/5 (36 download)
Download or read book Cryptology and Network Security written by Stephan Krenn and published by Springer Nature. This book was released on 2020-12-09 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Cryptology and Network Security, CANS 2020, held in Vienna, Austria, in December 2020.* The 30 full papers were carefully reviewed and selected from 118 submissions. The papers focus on topics such as cybersecurity; credentials; elliptic curves; payment systems; privacy-enhancing tools; lightweight cryptography; and codes and lattices. *The conference was held virtually due to the COVID-19 pandemic.
Author : Sudeep Pasricha
Publisher : Springer Nature
ISBN 13 : 303140677X
Total Pages : 571 pages
Book Rating : 4.0/5 (314 download)
Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-11-07 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Author : Qiang Yang
Publisher : Springer Nature
ISBN 13 : 3030630765
Total Pages : 291 pages
Book Rating : 4.0/5 (36 download)
Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Author : Mihai Christodorescu
Publisher : Springer Science & Business Media
ISBN 13 : 0387445994
Total Pages : 307 pages
Book Rating : 4.3/5 (874 download)
Download or read book Malware Detection written by Mihai Christodorescu and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.
Author : My T. Thai
Publisher : Springer Nature
ISBN 13 : 3031589238
Total Pages : 425 pages
Book Rating : 4.0/5 (315 download)
Download or read book Handbook of Trustworthy Federated Learning written by My T. Thai and published by Springer Nature. This book was released on with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zahir Tari
Publisher : Springer Nature
ISBN 13 : 9819708087
Total Pages : 525 pages
Book Rating : 4.8/5 (197 download)
Download or read book Algorithms and Architectures for Parallel Processing written by Zahir Tari and published by Springer Nature. This book was released on with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lejla Batina
Publisher : Springer Nature
ISBN 13 : 3030987957
Total Pages : 365 pages
Book Rating : 4.0/5 (39 download)
Download or read book Security and Artificial Intelligence written by Lejla Batina and published by Springer Nature. This book was released on 2022-04-07 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised.
Author : Satya Prakash Yadav
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110798158
Total Pages : 346 pages
Book Rating : 4.1/5 (17 download)
Download or read book Quantum-Safe Cryptography Algorithms and Approaches written by Satya Prakash Yadav and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-07 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shui Yu
Publisher : Springer Nature
ISBN 13 : 9811986924
Total Pages : 142 pages
Book Rating : 4.8/5 (119 download)
Download or read book Security and Privacy in Federated Learning written by Shui Yu and published by Springer Nature. This book was released on 2023-03-10 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privacy, secure multi-party computation, homomorphic encryption, and shuffle, respectively. The book offers an essential overview for researchers who are new to the field, while also equipping them to explore this “uncharted territory.” For each topic, the authors first present the key concepts, followed by the most important issues and solutions, with appropriate references for further reading. The book is self-contained, and all chapters can be read independently. It offers a valuable resource for master’s students, upper undergraduates, Ph.D. students, and practicing engineers alike.
Author : Lixin Fan
Publisher : Springer Nature
ISBN 13 : 981197554X
Total Pages : 233 pages
Book Rating : 4.8/5 (119 download)
Download or read book Digital Watermarking for Machine Learning Model written by Lixin Fan and published by Springer Nature. This book was released on 2023-05-29 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) models, especially large pretrained deep learning (DL) models, are of high economic value and must be properly protected with regard to intellectual property rights (IPR). Model watermarking methods are proposed to embed watermarks into the target model, so that, in the event it is stolen, the model’s owner can extract the pre-defined watermarks to assert ownership. Model watermarking methods adopt frequently used techniques like backdoor training, multi-task learning, decision boundary analysis etc. to generate secret conditions that constitute model watermarks or fingerprints only known to model owners. These methods have little or no effect on model performance, which makes them applicable to a wide variety of contexts. In terms of robustness, embedded watermarks must be robustly detectable against varying adversarial attacks that attempt to remove the watermarks. The efficacy of model watermarking methods is showcased in diverse applications including image classification, image generation, image captions, natural language processing and reinforcement learning. This book covers the motivations, fundamentals, techniques and protocols for protecting ML models using watermarking. Furthermore, it showcases cutting-edge work in e.g. model watermarking, signature and passport embedding and their use cases in distributed federated learning settings.
Author : Paul Scharre
Publisher : W. W. Norton & Company
ISBN 13 : 0393866874
Total Pages : 330 pages
Book Rating : 4.3/5 (938 download)
Download or read book Four Battlegrounds: Power in the Age of Artificial Intelligence written by Paul Scharre and published by W. W. Norton & Company. This book was released on 2023-02-28 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: An NPR 2023 "Books We Love" Pick One of the Next Big Idea Club's Must-Read Books "An invaluable primer to arguably the most important driver of change for our future." —P. W. Singer, author of Burn-In An award-winning defense expert tells the story of today’s great power rivalry—the struggle to control artificial intelligence. A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives—and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes readers inside the fierce competition to develop and implement this game-changing technology and dominate the future. Four Battlegrounds argues that four key elements define this struggle: data, computing power, talent, and institutions. Data is a vital resource like coal or oil, but it must be collected and refined. Advanced computer chips are the essence of computing power—control over chip supply chains grants leverage over rivals. Talent is about people: which country attracts the best researchers and most advanced technology companies? The fourth “battlefield” is maybe the most critical: the ultimate global leader in AI will have institutions that effectively incorporate AI into their economy, society, and especially their military. Scharre’s account surges with futuristic technology. He explores the ways AI systems are already discovering new strategies via millions of war-game simulations, developing combat tactics better than any human, tracking billions of people using biometrics, and subtly controlling information with secret algorithms. He visits China’s “National Team” of leading AI companies to show the chilling synergy between China’s government, private sector, and surveillance state. He interviews Pentagon leadership and tours U.S. Defense Department offices in Silicon Valley, revealing deep tensions between the military and tech giants who control data, chips, and talent. Yet he concludes that those tensions, inherent to our democratic system, create resilience and resistance to autocracy in the face of overwhelmingly powerful technology. Engaging and direct, Four Battlegrounds offers a vivid picture of how AI is transforming warfare, global security, and the future of human freedom—and what it will take for democracies to remain at the forefront of the world order.
Author : Kaiser J. Giri
Publisher : Springer Nature
ISBN 13 : 9811587116
Total Pages : 305 pages
Book Rating : 4.8/5 (115 download)
Download or read book Multimedia Security written by Kaiser J. Giri and published by Springer Nature. This book was released on 2021-01-11 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of outstanding content written by experts working in the field of multimedia security. It provides an insight about various techniques used in multimedia security and identifies its progress in both technological and algorithmic perspectives. In the contemporary world, digitization offers an effective mechanism to process, preserve and transfer all types of information. The incredible progresses in computing and communication technologies augmented by economic feasibility have revolutionized the world. The availability of efficient algorithms together with inexpensive digital recording and storage peripherals have created a multimedia era bringing conveniences to people in sharing the digital data that includes images, audio and video. The ever-increasing pace, at which the multimedia and communication technology is growing, has also made it possible to combine, replicate and distribute the content faster and easier, thereby empowering mankind by having a wealth of information at their disposal. However, security of multimedia is giving tough time to the research community around the globe, due to ever-increasing and efficient attacks carried out on multimedia data by intruders, eves-droppers and hackers. Further, duplication, unauthorized use and mal-distribution of digital content have become a serious challenge as it leads to copyright violation and is considered to be the principal reason that refrains the information providers in freely sharing their proprietary digital content. The book is useful for students, researchers and professionals to advance their study.
Author : Jinyin Chen
Publisher : Springer Nature
ISBN 13 : 9819704251
Total Pages : 413 pages
Book Rating : 4.8/5 (197 download)
Download or read book Attacks, Defenses and Testing for Deep Learning written by Jinyin Chen and published by Springer Nature. This book was released on with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Qi Xuan
Publisher : Springer Nature
ISBN 13 : 981162609X
Total Pages : 256 pages
Book Rating : 4.8/5 (116 download)
Download or read book Graph Data Mining written by Qi Xuan and published by Springer Nature. This book was released on 2021-07-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic – the security of graph data mining – and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
Author : Shuo Yang
Publisher : Springer Nature
ISBN 13 : 981197943X
Total Pages : 390 pages
Book Rating : 4.8/5 (119 download)
Download or read book Artificial Intelligence and Robotics written by Shuo Yang and published by Springer Nature. This book was released on 2022-12-13 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 67 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
Author : Anthony D. Joseph
Publisher : Cambridge University Press
ISBN 13 : 1107043468
Total Pages : 341 pages
Book Rating : 4.1/5 (7 download)
Download or read book Adversarial Machine Learning written by Anthony D. Joseph and published by Cambridge University Press. This book was released on 2019-02-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.
