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Frontiers in fake media generation a...

Khosravy, Mahdi.

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Frontiers in fake media generation and detection

Record Type:	Electronic resources : Monograph/item
Title/Author:	Frontiers in fake media generation and detection/ edited by Mahdi Khosravy, Isao Echizen, Noboru Babaguchi.
other author:	Khosravy, Mahdi.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	xvi, 273 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Part 1: Introduction -- Chapter 1. Deepfakes and Society: What lies ahead? -- Chapter 2. Adversarial Examples and Defenses -- Part 2: Fake Media Generation -- Chapter 3. Adversarial Attacks -- Chapter 4. Robust Deepfake On Unrestricted Media: Generation And Detection -- Chapter 5. Spoofing Tweet Generator considering Points of Interest of Target User -- Part 3: Fake Media Detection -- Chapter 6. Defense Against Adversarial Attacks -- Chapter 7. Adversarial Defense with Secret Key -- Chapter 8. A Practical Guide to Logical Access Voice Presentation Attack Detection -- Chapter 9. Cross-Domain Fake News Detection on Social Media: A Context-Aware Adversarial Approach -- Part 4: Further Topics and Trends -- Chapter 10. Recognizer Cloning Attack on Image Recognition Services and Its Defending Method -- Chapter 11. Dynamic deception using social media.
Contained By:	Springer Nature eBook
Subject:	Fake news. -
Online resource:	https://doi.org/10.1007/978-981-19-1524-6
ISBN:	9789811915246

Frontiers in fake media generation and detection
Frontiers in fake media generation and detection[electronic resource] /edited by Mahdi Khosravy, Isao Echizen, Noboru Babaguchi. - Singapore :Springer Nature Singapore :2022. - xvi, 273 p. :ill. (some col.), digital ;24 cm. - Studies in autonomic, data-driven and industrial computing,2730-6445. - Studies in autonomic, data-driven and industrial computing..

Part 1: Introduction -- Chapter 1. Deepfakes and Society: What lies ahead? -- Chapter 2. Adversarial Examples and Defenses -- Part 2: Fake Media Generation -- Chapter 3. Adversarial Attacks -- Chapter 4. Robust Deepfake On Unrestricted Media: Generation And Detection -- Chapter 5. Spoofing Tweet Generator considering Points of Interest of Target User -- Part 3: Fake Media Detection -- Chapter 6. Defense Against Adversarial Attacks -- Chapter 7. Adversarial Defense with Secret Key -- Chapter 8. A Practical Guide to Logical Access Voice Presentation Attack Detection -- Chapter 9. Cross-Domain Fake News Detection on Social Media: A Context-Aware Adversarial Approach -- Part 4: Further Topics and Trends -- Chapter 10. Recognizer Cloning Attack on Image Recognition Services and Its Defending Method -- Chapter 11. Dynamic deception using social media.

The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones' attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.

ISBN: 9789811915246

Standard No.: 10.1007/978-981-19-1524-6doiSubjects--Topical Terms:

3301831
Fake news.

LC Class. No.: PN4784.F27 / F76 2022

Dewey Class. No.: 303.375

Frontiers in fake media generation and detection
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245 0 0 $a Frontiers in fake media generation and detection $h [electronic resource] / $c edited by Mahdi Khosravy, Isao Echizen, Noboru Babaguchi.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xvi, 273 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in autonomic, data-driven and industrial computing, $x 2730-6445
505 0 $a Part 1: Introduction -- Chapter 1. Deepfakes and Society: What lies ahead? -- Chapter 2. Adversarial Examples and Defenses -- Part 2: Fake Media Generation -- Chapter 3. Adversarial Attacks -- Chapter 4. Robust Deepfake On Unrestricted Media: Generation And Detection -- Chapter 5. Spoofing Tweet Generator considering Points of Interest of Target User -- Part 3: Fake Media Detection -- Chapter 6. Defense Against Adversarial Attacks -- Chapter 7. Adversarial Defense with Secret Key -- Chapter 8. A Practical Guide to Logical Access Voice Presentation Attack Detection -- Chapter 9. Cross-Domain Fake News Detection on Social Media: A Context-Aware Adversarial Approach -- Part 4: Further Topics and Trends -- Chapter 10. Recognizer Cloning Attack on Image Recognition Services and Its Defending Method -- Chapter 11. Dynamic deception using social media.
520 $a The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones' attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.
650 0 $a Fake news. $3 3301831
650 0 $a Computational intelligence. $3 595739
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Khosravy, Mahdi. $3 3450095
700 1 $a Echizen, Isao. $3 1245608
700 1 $a Babaguchi, Noboru. $3 3599185
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in autonomic, data-driven and industrial computing. $3 3494523
856 4 0 $u https://doi.org/10.1007/978-981-19-1524-6
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)