upload/newsarch_ebooks/2022/01/04/extracted__3030772861.7z/2021_Book_ProtectingPrivacyThroughHomomo.epub
Protecting Privacy through Homomorphic Encryption 🔍
Kristin Lauter (editor), Wei Dai (editor), Kim Laine (editor)
Springer International Publishing : Imprint: Springer, 1st ed. 2021, 2022
英语 [en] · EPUB · 9.8MB · 2022 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/upload/zlib · Save
描述
This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on Homomorphic Encryption. In the past 3 years, a global community consisting of researchers in academia, industry, and government, has been working closely to standardize homomorphic encryption. This is the first publication of whitepapers created by these experts that comprehensively describes the scientific inventions, presents a concrete security analysis, and broadly discusses applicable use scenarios and markets. This book also features a collection of privacy-preserving machine learning applications powered by homomorphic encryption designed by groups of top graduate students worldwide at the Private AI Bootcamp hosted by Microsoft Research.
The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.
The volume aims to connect non-expert readers with this important new cryptographic technology in an accessible and actionable way. Readers who have heard good things about homomorphic encryption but are not familiar with the details will find this book full of inspiration. Readers who have preconceived biases based on out-of-date knowledge will see the recent progress made by industrial and academic pioneers on optimizing and standardizing this technology. A clear picture of how homomorphic encryption works, how to use it to solve real-world problems, and how to efficiently strengthen privacy protection, will naturally become clear.
备用文件名
nexusstc/Protecting Privacy through Homomorphic Encryption/a333a224e29ac0395da715434c0d36c7.epub
备用文件名
lgli/Protecting Privacy through Homomorphic Encryption 2021.epub
备用文件名
lgrsnf/Protecting Privacy through Homomorphic Encryption 2021.epub
备用文件名
zlib/Computers/Cryptography/Kristin Lauter (editor), Wei Dai (editor), Kim Laine (editor)/Protecting Privacy through Homomorphic Encryption_18665130.epub
备选作者
Kristin E Lauter, (Kristin Estella), 1969-
备选作者
Lauter, Kristin; Dai, Wei; Laine, Kim
备选作者
Kristin E Lauter; Wei Dai; Kim Laine
备选作者
Mohammed Moreb
备用出版商
Springer International Publishing AG
备用出版商
Springer Nature Switzerland AG
备用版本
corrected publication, Cham, Switzerland, 2022
备用版本
Springer Nature, Cham, 2021
备用版本
1st ed. 2021, Cham, 2021
备用版本
Switzerland, Switzerland
备用版本
1, 20220104
元数据中的注释
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备用描述
Keine Beschreibung vorhanden.
Erscheinungsdatum: 05.01.2022
Erscheinungsdatum: 05.01.2022
开源日期
2022-01-08
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- 低速服务器(合作方提供) #1 (稍快但需要排队)
- 低速服务器(合作方提供) #2 (稍快但需要排队)
- 低速服务器(合作方提供) #3 (稍快但需要排队)
- 低速服务器(合作方提供) #4 (稍快但需要排队)
- 低速服务器(合作方提供) #5 (无需排队,但可能非常慢)
- 低速服务器(合作方提供) #6 (无需排队,但可能非常慢)
- 低速服务器(合作方提供) #7 (无需排队,但可能非常慢)
- 低速服务器(合作方提供) #8 (无需排队,但可能非常慢)
- 低速服务器(合作方提供) #9 (无需排队,但可能非常慢)
- 下载后: 在我们的查看器中打开
所有选项下载的文件都相同,应该可以安全使用。即使这样,从互联网下载文件时始终要小心。例如,确保您的设备更新及时。
外部下载
- Libgen.rs 非虚构文学板块
- Libgen.li (点击顶部的“GET”) 已知他们的广告包含恶意软件,因此请使用广告拦截器或不要点击广告
- Nexus/STC (Nexus/STC 文件下载可能不可靠)
- IPFS
- Z-Library
- Z-Library TOR (需要TOR浏览器)
- Z-Library
- Z-Library TOR (需要TOR浏览器)
- Sci-Hub: 10.1007/978-3-030-77287-1 (相关 DOI 在Sci-Hub中可能不可用)
- Sci-Hub: 10.1007/978-3-030-77287-1. (相关 DOI 在Sci-Hub中可能不可用)
- 批量种子下载 (仅限专家) 馆藏 “libgen_rs_non_fic” → 种子 “r_3182000.torrent” → file “a333a224e29ac0395da715434c0d36c7”
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对于大文件,我们建议使用下载管理器以防止中断。
推荐的下载管理器:JDownloader -
您将需要一个电子书或 PDF 阅读器来打开文件,具体取决于文件格式。
推荐的电子书阅读器:Anna的档案在线查看器、ReadEra和Calibre -
使用在线工具进行格式转换。
推荐的转换工具:CloudConvert和PrintFriendly -
您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
推荐的工具:亚马逊的“发送到 Kindle”和djazz 的“发送到 Kobo/Kindle” -
支持作者和图书馆
✍️ 如果您喜欢这个并且能够负担得起,请考虑购买原版,或直接支持作者。
📚 如果您当地的图书馆有这本书,请考虑在那里免费借阅。
下面的文字仅以英文继续。
总下载量:
“文件的MD5”是根据文件内容计算出的哈希值,并且基于该内容具有相当的唯一性。我们这里索引的所有影子图书馆都主要使用MD5来标识文件。
一个文件可能会出现在多个影子图书馆中。有关我们编译的各种数据集的信息,请参见数据集页面。
有关此文件的详细信息,请查看其JSON 文件。 Live/debug JSON version. Live/debug page.