Strengthening deep neural networks : making AI less susceptible to adversarial trickery (Record no. 53132)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01683 a2200241 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200910b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789352138739 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.32 |
| Item number | WAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Warr, Katy |
| 245 ## - TITLE STATEMENT | |
| Title | Strengthening deep neural networks : making AI less susceptible to adversarial trickery |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Shroff Publisher, |
| Date of publication, distribution, etc | 2019. |
| Place of publication, distribution, etc | Mumbai: |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 227 p.; |
| Other physical details | pb; |
| Dimensions | 23.00 |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 850.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | As Deep Neural Networks (DNNs) become increasingly common in real-world applications, the potential to "fool" them presents a new attack vector. In this book, author Katy Warr examines the security implications of how DNNs interpret audio and images very differently to humans. You'll learn about the motivations attackers have for exploiting flaws in DNN algorithms and how to assess the threat to systems incorporating neural network technology. Through practical code examples, this book shows you how DNNs can be fooled and demonstrates the ways they can be hardened against trickery. Learn the basic principles of how DNNs "think" and why this differs from our human understanding of the world Understand adversarial motivations for fooling DNNs and the threat posed to real-world systems Explore approaches for making software systems that incorporate DNNs less susceptible to trickery Peer into the future of Artificial Neural Networks to learn how these algorithms may evolve to become more robust. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Deep Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Deep Neural Network |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Adversarial |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Robustness |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Processing |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last borrowed | Copy number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | General | IIT Gandhinagar | IIT Gandhinagar | General Stacks | 10/09/2020 | Books India | 850.00 | 9 | 006.32 WAR | 029340 | 22/03/2024 | 01/03/2024 | 1 | 850.00 | Books |
