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Comments on: Manipulated Data and How We are Affected https://digitalage19.sites.grinnell.edu/uncategorized/manipulated-data-and-how-we-are-affected/ CSC 105, Spring 2019 Mon, 20 May 2019 16:42:47 +0000 hourly 1 https://wordpress.org/?v=7.0.1 By: Gabriel Garcia https://digitalage19.sites.grinnell.edu/uncategorized/manipulated-data-and-how-we-are-affected/#comment-155 Mon, 20 May 2019 16:42:47 +0000 https://digitalage19.sites.grinnell.edu/?p=765#comment-155 As stated from before, technology has certainly advanced in the case of how advanced it is in the modern era, as said before, it has the ability to use such technological advancements to the advantage of the market. However, at one point or another, people will find drawbacks in technology, mostly pertaining to common human misuse.

As stated in the previous article, the case of which people are essentially being observed in their activities proves to be ethically questionable. People have always been cautious about anything that pertains to their safety. Companies don’t appear to have the intent of doing harm to a person, simply wishing to use the information for advertisements, but even so, this brings the question to just how ethical information gathering really is .

]]> By: Luis Lua https://digitalage19.sites.grinnell.edu/uncategorized/manipulated-data-and-how-we-are-affected/#comment-131 Mon, 13 May 2019 00:30:31 +0000 https://digitalage19.sites.grinnell.edu/?p=765#comment-131 The digital world is praised for its milestones for connecting people across the world and increasing the speed of data transfer. In the words of Uncle Ben, with great power comes great responsibility. With this in mind, I want to elaborate upon your ending phrase, “need to be more responsible”, with ways to catch and prevent Deep-fakes. One way to expose Deep-feks lies on the simple process of blinking.

It was this task that 3 college students from the University at Albany set out to solve. In their research, they aimed to use computers to help people tell truth from Deep-fakes. To do so, “Our method is based on detection of eye blinking in the videos, which is a physiological signal that is not well presented in the synthesized fake videos” (Li). Why blinking? They proclaim that deep fake videos blink a lot less frequent in comparison with real people. This way, it makes it very clear on how to spot a Deep-fake no matter how realistic the graphics may be.

Although their research solves one aspect of Deep-fake videos, their current method only uses the lack of blinking as a cue for detection. Their research may be useless in a couple of months or years, but their efforts demonstrated the passion needed to combat false information in our Digital Age.

Article:
Li, Y., Chang, M., & Lyu, S. (2018). In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking. 2018 IEEE International Workshop on Information Forensics and Security (WIFS). doi:10.1109/wifs.2018.8630787

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