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Do this attacks still work if you don’t control input image bit-by-bit, but rather feed it via digital camera? While using any digits camera for input in the re
by samat 9y ago
Do this attacks still work if you don’t control input image bit-by-bit, but rather feed it via digital camera? While using any digits camera for input in the real world there will be some blurrines and distortion. Is it possible to construct such a noise that 1) will survive camera input 2) will be undetectable with human eyes 3) will fool a ML algorithm?
I do believe you are not able to control input image bit-by-bit in many real-world scenarios.
- taejo 9y agoAs has been posted elsewhere in this thread, you can 3D print objects that are consistently misclassified when viewed through a camera from any angle: http://www.labsix.org/physical-objects-that-fool-neural-nets/ http://www.labsix.org/physical-objects-that-fool-neural-nets...