Security and Privacy in Federated Learning (Record no. 177434)
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000 -LEADER | |
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fixed length control field | 03457nam a22005775i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-19-8692-5 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240423125406.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230310s2023 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789811986925 |
-- | 978-981-19-8692-5 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-981-19-8692-5 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA76.9.A25 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UR |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UTN |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM053000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UR |
Source | thema |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UTN |
Source | thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.8 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Yu, Shui. |
Relator term | author. |
-- | (orcid) |
-- | 0000-0003-4485-6743 |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT | |
Title | Security and Privacy in Federated Learning |
Medium | [electronic resource] / |
Statement of responsibility, etc | by Shui Yu, Lei Cui. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2023. |
264 #1 - | |
-- | Singapore : |
-- | Springer Nature Singapore : |
-- | Imprint: Springer, |
-- | 2023. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XII, 133 p. 1 illus. |
Other physical details | online resource. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
490 1# - SERIES STATEMENT | |
Series statement | Digital Privacy and Security, |
International Standard Serial Number | 2731-9938 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 1. Introduction of Federated Learning -- Chapter 2. Inference Attacks and Counter Attacks in Federated Learning -- Chapter 3. Poisoning Attacks and Counter Attacks in Federated Learning -- Chapter 4. GAN Attacks and Counter Attacks in Federated Learning -- Chapter 5. Differential Privacy in Federated Learning -- Chapter 6. Secure Multi-Party Computation in Federated Learning -- Chapter 7. Secure Data Aggregation in Federated Learning -- Chapter 8. Anonymous Communication and Shuffle Model in Federated Learning -- Chapter 9. The Future Work. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data protection. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data protection |
General subdivision | Law and legislation. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data and Information Security. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Privacy. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial Intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Cui, Lei. |
Relator term | author. |
Relator code | aut |
-- | http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9789811986918 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9789811986932 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9789811986949 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Digital Privacy and Security, |
-- | 2731-9938 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-981-19-8692-5">https://doi.org/10.1007/978-981-19-8692-5</a> |
912 ## - | |
-- | ZDB-2-SCS |
912 ## - | |
-- | ZDB-2-SXCS |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-CSE-Springer |
No items available.