Beating Facial Recognition Software
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چکیده
Facial recognition software is pervasive in modern society with everything from social networks like Facebook to local security systems collecting and analyzing images of us at an alarming rate. This software is applied in many diverse domains, but what they all come down to is analyzing pictures to discover the identity of the people in them. Some places in the world are more strict about security with this software than others, just as some people care more about being “watched” than others do. Our paper will focus on not only ways to beat the facial recognition software but also why it is important to be able to beat it. In this study, experiments will be done to observe what effect various image modifications have on the accuracy of these softwares. Doing this research will possibly help facial software recognition companies to identify users even with photo modifications by making their algorithms more robust, as well as, help privacy concerned individuals better block these approaches. Our research question is, What are the effects of photo manipulation to beat facial recognition software?
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