On 23/03/15 18:57, Rob Myers wrote:
http://news.cornell.edu/stories/2015/03/images-fool-computer-vision-raise-security-concerns
"Images that fool computer vision raise security concerns
By Bill Steele
http://arxiv.org/abs/1412.1897
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for
Unrecognizable Images"
Anh Nguyen, Jason Yosinski, Jeff Clune
Computers are learning to recognize objects with near-human ability. But
Cornell researchers have found that computers, like humans, can be
fooled by optical illusions, which raises security concerns and opens
new avenues for research in computer vision.
Cornell graduate student Jason Yosinski and colleagues at the University
of Wyoming Evolving Artificial Intelligence Laboratory have created
images that look to humans like white noise or random geometric patterns
but which computers identify with great confidence as common objects.
They will report their work at the IEEE Computer Vision and Pattern
Recognition conference in Boston June 7-12. [...]"
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