3 ms·
The vulnerability exploits imperfections in the NN weights. To avoid this kind of mismatch all you need to do is shift the same image by 1 pixel (assuming recog
by cLeEOGPw 12y ago
The vulnerability exploits imperfections in the NN weights. To avoid this kind of mismatch all you need to do is shift the same image by 1 pixel (assuming recognition is done per pixel), and you can cross check results to check if an error occurred.
Human brain recognizes better because it can sample the image many times from many slightly different angles. There's a reason saccade (http://en.wikipedia.org/wiki/Saccade http://en.wikipedia.org/wiki/Saccade) exists.
- phreeza 12y agoThis is highly oversimplified. The previous example of antagonistic samples being found works even if the training data was perturbed as you described. The reasons for saccades are also a lot more complex, involving photoreceptor adaptation etc.