Will Privacy Concerns Spawn the Faceless Book?
By Rob Spiegel
TechNewsWorld
It doesn't take much to put together a pretty clear profile of a stranger walking down the street -- just a snapshot, some facial recognition software, and the addition of readily available personal data on the Web, according to a Carnegie Mellon research team. As the potential for intrusions on privacy grows, people who want to protect their private lives may become a lot more cautious about uploading profile pictures.
The research team combined three technologies to identify individuals online and in the physical world: an off-the-shelf face recognizer, cloud computing and publicly available information from social networking sites. Since these technologies are also accessible by end-users, the results foreshadow a future where anyone can be identified by a smartphone with an Internet connection, the researchers suggested.
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TechNewsWorld
It doesn't take much to put together a pretty clear profile of a stranger walking down the street -- just a snapshot, some facial recognition software, and the addition of readily available personal data on the Web, according to a Carnegie Mellon research team. As the potential for intrusions on privacy grows, people who want to protect their private lives may become a lot more cautious about uploading profile pictures.
Carnegie Mellon University researchers have developed a system that combines facial recognition technology with social networking
data and information drawn from other sources, raising new privacy concerns. The research team, led by Alessandro Acquisti, associate professor of information technology and public policy, will present its findings in full at Black Hat, a security conference to be held in Las Vegas later this week.
Using facial recognition software with other sources of data makes it possible to identify strangers and gain substantial personal information about them, the researchers said -- in some cases, even their Social Security numbers.The research team combined three technologies to identify individuals online and in the physical world: an off-the-shelf face recognizer, cloud computing and publicly available information from social networking sites. Since these technologies are also accessible by end-users, the results foreshadow a future where anyone can be identified by a smartphone with an Internet connection, the researchers suggested.
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