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Frontiers in fake media generation a...

Khosravy, Mahdi.

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Frontiers in fake media generation and detection

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Frontiers in fake media generation and detection/ edited by Mahdi Khosravy, Isao Echizen, Noboru Babaguchi.
其他作者:	Khosravy, Mahdi.
出版者:	Singapore :Springer Nature Singapore : : 2022.,
面頁冊數:	xvi, 273 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Fake news. -
電子資源:	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

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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.
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