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Download or read book Proceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9781450385619
Total Pages : 104 pages
Book Rating : 4.3/5 (856 download)
Download or read book Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning written by and published by . This book was released on 2021 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michel Kadoch
Publisher : Springer Nature
ISBN 13 : 3031674472
Total Pages : 436 pages
Book Rating : 4.0/5 (316 download)
Download or read book Proceedings of the International Symposium on Intelligent Computing and Networking 2024 written by Michel Kadoch and published by Springer Nature. This book was released on with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book WiseML '20 written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xingming Sun
Publisher : Springer Nature
ISBN 13 : 303057881X
Total Pages : 841 pages
Book Rating : 4.0/5 (35 download)
Download or read book Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2020-08-31 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 12239-12240 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 142 full papers presented in this two-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: Artificial intelligence and internet of things. Part II: Internet of things, information security, big data and cloud computing, and information processing.
Author : Alexandros Karatzoglou
Publisher :
ISBN 13 : 9781450347952
Total Pages : 47 pages
Book Rating : 4.3/5 (479 download)
Download or read book Proceedings of the 1st Workshop on Deep Learning for Recommender Systems written by Alexandros Karatzoglou and published by . This book was released on 2016-09-15 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workshop on Deep Learning for Recommender Systems Sep 15, 2016-Sep 15, 2016 Boston, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book WiseML '21 written by and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Proceedings of the 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bhavani Thuraisingham
Publisher :
ISBN 13 : 9781450349468
Total Pages : pages
Book Rating : 4.3/5 (494 download)
Download or read book Ccs '17 written by Bhavani Thuraisingham and published by . This book was released on 2017-10-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: CCS '17: 2017 ACM SIGSAC Conference on Computer and Communications Security Oct 30, 2017-Nov 03, 2017 Dallas, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Author : Efrén Mezura-Montes
Publisher : Springer Nature
ISBN 13 : 3031628365
Total Pages : 406 pages
Book Rating : 4.0/5 (316 download)
Download or read book Pattern Recognition written by Efrén Mezura-Montes and published by Springer Nature. This book was released on with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : De-Nian Yang
Publisher : Springer Nature
ISBN 13 : 9819722624
Total Pages : 431 pages
Book Rating : 4.8/5 (197 download)
Download or read book Advances in Knowledge Discovery and Data Mining written by De-Nian Yang and published by Springer Nature. This book was released on with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Pradeep Kumar Singh
Publisher : Springer Nature
ISBN 13 : 9811607338
Total Pages : 1027 pages
Book Rating : 4.8/5 (116 download)
Download or read book Proceedings of Second International Conference on Computing, Communications, and Cyber-Security written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2021-05-24 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the Second International Conference on Computing, Communications, and Cyber-Security (IC4S 2020), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India during 3–4 October 2020. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Author : S. Manoharan
Publisher : Springer Nature
ISBN 13 : 3031614712
Total Pages : 541 pages
Book Rating : 4.0/5 (316 download)
Download or read book Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy written by S. Manoharan and published by Springer Nature. This book was released on with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kwangjo Kim
Publisher : Springer Nature
ISBN 13 : 9811637644
Total Pages : 81 pages
Book Rating : 4.8/5 (116 download)
Download or read book Privacy-Preserving Deep Learning written by Kwangjo Kim and published by Springer Nature. This book was released on 2021-07-22 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning. Google and Microsoft announced a major investment in PPDL in early 2019. This was followed by Google’s infamous announcement of “Private Join and Compute,” an open source PPDL tools based on secure multi-party computation (secure MPC) and homomorphic encryption (HE) in June of that year. One of the challenging issues concerning PPDL is selecting its practical applicability despite the gap between the theory and practice. In order to solve this problem, it has recently been proposed that in addition to classical privacy-preserving methods (HE, secure MPC, differential privacy, secure enclaves), new federated or split learning for PPDL should also be applied. This concept involves building a cloud framework that enables collaborative learning while keeping training data on client devices. This successfully preserves privacy and while allowing the framework to be implemented in the real world. This book provides fundamental insights into privacy-preserving and deep learning, offering a comprehensive overview of the state-of-the-art in PPDL methods. It discusses practical issues, and leveraging federated or split-learning-based PPDL. Covering the fundamental theory of PPDL, the pros and cons of current PPDL methods, and addressing the gap between theory and practice in the most recent approaches, it is a valuable reference resource for a general audience, undergraduate and graduate students, as well as practitioners interested learning about PPDL from the scratch, and researchers wanting to explore PPDL for their applications.
Author : Charles A. Kamhoua
Publisher : John Wiley & Sons
ISBN 13 : 1119723949
Total Pages : 546 pages
Book Rating : 4.1/5 (197 download)
Download or read book Game Theory and Machine Learning for Cyber Security written by Charles A. Kamhoua and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.
