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相關主題
商品描述
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.
商品描述(中文翻譯)
在這本書中，作者強調了聯邦學習系統在安全性和隱私方面的最新研究成果。主要的攻擊和反攻擊在這個蓬勃發展的領域中，分別與推斷、毒化、生成對抗網絡、差分隱私、安全多方計算、同態加密和洗牌等主題相關聯，呈現給讀者。
這本書為對該領域不熟悉的研究人員提供了必要的概述，同時也使他們能夠探索這個「未開發的領域」。對於每個主題，作者首先介紹關鍵概念，然後討論最重要的問題和解決方案，並提供適當的參考資料以供進一步閱讀。
這本書是自成一體的，所有章節都可以獨立閱讀。它為碩士生、高年級本科生、博士生以及在職工程師提供了寶貴的資源。
作者簡介
Shui Yu obtained his PhD from Deakin University, Australia, in 2004. He currently is a Professor of School of Computer Science, University of Technology Sydney, Australia. Dr Yu's research interest includes Big Data, Security and Privacy, Networking, and Mathematical Modelling. He has published four monographs and edited two books, more than 500 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. His h-index is 66. Dr Yu initiated the research field of networking for big data in 2013, and his research outputs have been widely adopted by industrial systems, such as Amazon cloud security. He is currently serving a number of prestigious editorial boards, including IEEE Communications Surveys and Tutorials (Area Editor), IEEE Communications Magazine, IEEE Internet of Things Journal, and so on. He served as a Distinguished Lecturer of IEEE Communications Society (2018-2021). He is a Distinguished Visitor of IEEE Computer Society, a voting member of IEEE ComSoc Educational Services board, and an elected member of Board of Governor of IEEE Vehicular Technology Society.
Lei Cui received his PhD degree from Deakin University, Australia, in 2021. He is now working as an associate research fellow at Shandong Computer Science Center (National Supercomputer Center in Jinan), China. He has authored or co-authored more than 30 publications, including monographs, book chapters, and journal and conference papers. Some of his publications have been published in top venues such as IEEE TII, IEEE TNSM, and IEEE TPDS. His research interests include security and privacy issues in IoT, social networks, and machine learning. Dr. Lei is active in the communication society and has served as a reviewer for many Q1 journals and a TPC Member for international conferences.
作者簡介(中文翻譯)
余水於2004年獲得澳洲迪肯大學的博士學位。目前他是澳洲悉尼科技大學計算機科學學院的教授。余博士的研究興趣包括大數據、安全與隱私、網絡以及數學建模。他已出版四本專著並編輯兩本書，發表超過500篇技術論文，包括在頂級期刊和會議上，如IEEE TPDS、TC、TIFS、TMC、TKDE、TETC、ToN和INFOCOM。他的h指數為66。余博士於2013年啟動了大數據網絡研究領域，他的研究成果已被廣泛應用於工業系統中，例如亞馬遜雲安全。他目前擔任多個知名編輯委員會的成員，包括IEEE Communications Surveys and Tutorials（區域編輯）、IEEE Communications Magazine、IEEE Internet of Things Journal等。他曾擔任IEEE Communications Society的傑出講師（2018-2021）。他是IEEE Computer Society的傑出訪客，IEEE ComSoc Educational Services委員會的投票成員，以及IEEE Vehicular Technology Society的選舉理事會成員。
崔磊於2021年獲得澳洲迪肯大學的博士學位。目前他在中國山東計算機科學中心（濟南國家超級計算中心）擔任副研究員。他已發表或共同發表超過30篇出版物，包括專著、書章以及期刊和會議論文。他的一些出版物已在頂級會議上發表，如IEEE TII、IEEE TNSM和IEEE TPDS。他的研究興趣包括物聯網中的安全與隱私問題、社交網絡以及機器學習。崔博士活躍於通訊學會，並擔任多個Q1期刊的審稿人及國際會議的TPC成員。
