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Digital Visual Media Forensics:

Lessons in Anti–Forensics and Counter Anti–Forensics

This course is dedicated to the comprehensive examination of all aspects of the domains of image and video anti–forensics and counter anti–forensics. The participants will gain a deep understanding of these highly consequential research domains, beginning with an introduction to the field of digital image and video forensics, the known kinds of image and video forgeries, the existing literature pertaining to the developments in the domain of forgery detection, and the various issues and challenges that complicate the task of forensic analysis of digital images and videos and impose restrictions on the extent of success of contemporary forensic solutions in heterogeneous real–world situations. The participants will learn about the process of forensic analysis of video evidence, including integrity verification, source authentication, and content authentication. The participants will also learn about the origin and history of deepfakes and take some time to examine some famous fake videos posted on YouTube. This will be an enjoyable exercise for the participants and will also enable them be more critical of the content we have become so accustomed to consume and inherently believe in our daily lives. This discussion will be followed by a detailed analysis of existing image and video anti–forensic and counter     anti–forensic strategies, and will be concluded with an examination of the current research gaps, open issue and future research avenues in this domain. Altogether, this course will enable the participants to establish a strong foundation for personal growth and the eventual development of a meaningful career in the tremendously exciting domain of digital visual media forensics.


Course launch date: November 9th 2018

Course duration: 18 hours (18 CPE points awarded on completion)

Pre-recorded, self-paced



Early bird discount for the first 10 seats! 


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What will you learn? 

The course aims to provide the participants with a comprehensive understanding of the domain of digital visual media forensics, anti–forensics, and counter anti–forensics. The participants will gain:

  • Thorough understanding of the basic concepts of digital image and video forensics, the various kinds of forgeries images and videos are known to suffer from, and the fundamental principles employed during visual media integrity verification, content authentication, source authentication, and tamper detection.
  • Familiarity with the current state of affairs in the domain of image and video content authentication and forgery detection.
  • Awareness of various issues and challenges that complicate the task of forensic analysis of digital images and videos and impose restrictions on the extent of success of contemporary forensic solutions in real–world situations.
  • Deeper knowledge of the history and origin of deepfakes and practical experience of invalidating some viral YouTube videos.
  • A comprehensive understanding of the concept of anti–forensics and counter anti–forensics, and the methods of operation of contemporary image and video anti–forensic and counter anti–forensic solutions.
  • Cognizance of the various aspects of the fields of digital visual media forensics, anti–forensics, and counter anti–forensics, all of which will help the participants develop an eye for detail, and will bring about a deeper appreciation for this field as well as an awareness of all the interesting career opportunities it provides.

What skills will you gain? 

Upon completion of the course, the participants will have acquired:

  • Firm grounding in the digital visual media forensic, anti–forensic, and counter anti–forensic domains.
  • Practical knowledge of various aspects of image and video forensic, anti–forensic, and counter anti–forensic tools and techniques, which will help develop crucial analytical, problem–solving, and research skills, along with a much desired eye for detail.
  • Deeper understanding of the various issues and challenges that complicate the task of forensic analysis of digital images and videos, and impose restrictions on the level of success of contemporary forensic solutions in real–world situations.
  • A strong foundation for the eventual development of a meaningful career in the image and video forensics domain.

After the completion of the course, the participants will gain a deep understanding of the digital visual media forensic, anti–forensics, and counter anti–forensic domains. They will be able to distinguish authentic images and videos from manipulated ones and understand what kinds of artifacts various content manipulation operations leave behind. Moreover, they will be able to determine which forensic artifact works best for the revelation of which kind of manipulation operation, which will in turn enable them to select the most appropriate forensic artifacts for the task at hand. The participants will also learn about the caveats of existing forensic solutions and the various challenges offered by real–world forensic scenarios that limit the scopes of applicability as well as potency of the available solutions. This knowledge is crucial since it will enable the participants to develop a clear perspective on what kind of results can be expected outside of a laboratory setting. Knowledge about innovations in the fields of anti–forensics and counter anti–forensics will be beneficial from a long–term perspective: it is always a good idea for a forensic analyst to stay two steps ahead of the forger.

The knowledge gained from this course and the skills acquired therefrom will be apposite to researchers and practitioners, as well as forensics analysts and hobbyists.


What will you need? 

  • Laptop or desktop with Internet connectivity
  • Familiarity with computer image and video files
  • Familiarity with fundamental concepts of digital images and videos, including digital image and video acquisition process concepts of frame–rate, bit–rate, resolution, and visual quality basic image and video processing operations such as noise reduction (filtering) and compression visual distortions or artifacts exhibited by digital images and videos, such as block boundary artifacts, flickering, motion artifacts, and noise artifacts
  • Familiarity with installing computer based software from a website
  • Basic programming skills (desired but not essential)

Your instructor

Raahat Devender Singh Digital Video ForensicsRaahat Devender Singh is a PhD research scholar and a guest lecturer working in the Department of Computer Science and Engineering in University Institute of Engineering and Technology, and the Forensics Department in Panjab University, Chandigarh, India. She has been actively working in the Digital Video Forensics domain for over three years, and her fields of specialization include digital signal processing, digital image and video content authentication and forgery detection, and forensic analysis and interpretation of digital visual media evidence. She has participated in a number of national and international conferences, and has written several articles and research papers for magazines and scientific journals of various publishing houses including Springer, World Scientific, and Elsevier.


Syllabus


Module 1: Introduction to Digital Visual Media Forensics

This module covers the fundamentals of digital image and video forensics. Coverage includes an overview of the origin and history of photographic and video evidence, rules governing the admissibility of digital images and videos as evidence, and the process of forensic analysis of image and video evidence. Various kinds of tampering attacks that are known to affect the integrity of digital images and videos are also discussed, along with the basic concepts related to digital visual media integrity verification, source authentication, content authentication, and tamper detection. Discussion also includes thorough analysis of the existing literature in the domain of digital visual media forgery detection, as well as examination of various open research issues and challenges that complicate the task of forensic analysis of digital images and videos.

Module 1 Covered Topics:

  • Introduction to digital image and video forensics.
  • Overview of the process of forensic analysis of digital images and videos.
  • Introduction to digital visual media integrity verification, content authentication, and source authentication.
  • Overview of known kinds of image and video forgeries.
  • Analysis of existing image and video tamper detection techniques.
  • Discussion of various open research issues and challenges.

Module 1 Exercises

  • Knowledge test (consisting of true or false type questions, fill in the blanks, multiple choice and reverse multiple choice questions, and crossword puzzles)
  • Scenario–based exercise

Module 2: Deepfakes and Other Fake Videos

Coverage of this module includes a detailed journey through the origin and history of deepfakes and systematic examination of some famous (and fake) YouTube videos.

Module 2 Covered Topics

  • Introduction to the history and origin of deepfakes.
  • Analysis of some famous (and fake) YouTube videos.

Module 2 Exercises

  • Mini case studies
  • Practical exercises

Module 3: Introduction to Image and Video AntiForensics and Counter AntiForensics

This module is dedicated to the detailed exploration of the fields of image and video anti–forensics and counter anti–forensics. Discussion will begin with an analysis of the fundamental concepts of visual media anti–forensics and counter anti–forensics, and will be followed by a comprehensive examination of the existing literature detailing the innovations in these fields.

Module 3 Covered Topics:

  • Introduction to the concepts of anti–forensics and counter anti–forensics.
  • Analysis of existing image anti–forensic and counter anti–forensic approaches.
  • Analysis of existing video anti–forensic and counter anti–forensic approaches.
  • Discussion of open research issues and challenges.

Module 3 Exercises

  • Knowledge test
  • Mini–case study
  • Practical exercises

Course format: 

  • The course is self-paced – you can visit the training whenever you want and your content will be there.
  • Once you’re in, you keep access forever, even when you finish the course.
  • There are no deadlines, except for the ones you set for yourself.
  • We designed the course so that a diligent student will need about 18 hours of work to complete the training.
  • The course contains video and text materials, accompanied by practical labs and exercises.

Questions? Contact our course coordinator Marta at [email protected]

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XC9zaW1wbGUtd2hpdGUucG5nIiwidmlld19pZCI6IjExXzgyNzUwMCIsInZpZXdfaHRtbF9pZCI6ImNzcEZvcm1TaGVsbF8xMV84Mjc1MDAiLCJjb25uZWN0X2hhc2giOiJjOGNjZGZiOTU1N2RmMmRlOWQwODM0Y2UxYTAwNjNjMCJ9

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