Prof. Rocha talks about Forensics Sleuthing at Harvard

On July 22nd, Prof. Anderson Rocha gave the talk Digital Forensics Sleuthing: Exposing Fauxtography and Uncovering the Hidden Secrets of Digital Images at the Department of Molecular and Cellular Biology of the the School of Engineering and Applied Science, and the Center Brain Science, Harvard University, USA.

Here’s the abstract:

Digital images are everywhere — from our smartphones to the pages of our online news sites to social media networks. Amidst such a flood of visual stimuli, how we choose to use digital image processing raises a surprising host of legal and ethical questions that we must address. What are the ramifications of hiding data within an innocent image? Is this an intentional security practice when used legitimately, or intentional deception? Is tampering with an image appropriate in cases in which the image might affect public behavior? Does a photograph represent a crime, or is it a simple representation of a staged scene? Before action can even be taken on the basis of a questionable photograph, we must detect something about the photograph itself. Investigators from a diverse set of fields require the best possible tools to tackle the challenges presented by the malicious use of today’s digital image processing techniques. In this short course, we will introduce the emerging field of digital forensics and its research sub-fields putting emphasizes on the digital image forensics research subarea. The digital image forensics main topics of interest are source camera identification, forgery detection, and steganalysis. In source camera identification, we seek to identify the particular model of a camera, or the exact camera, that produced an image. Forgery detection’s goal is to establish the authenticity of an image, or to expose any potential tampering the image might have undergone. With steganalysis, the detection of hidden data within an image is performed, with a possible attempt to recover any detected data. Each of these components of digital image forensics will be described in high-level, along with a critical and more in-depth discussions of some selected problems: image phylogeny and image forgery detection through color constancy inspection and illumination color classification.

Anderson thanks Prof. David Cox for the opportunity.

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About eduardovalle

Professor at FEEC/UNICAMP, Brazil. Researcher on Machine Learning/Computer Vision, with emphasis on Health & Education applications.
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