4 ms·
That is a good question. I'm not aware of someone exploring this avenue, but it would be interesting to see what categories of models are fooled by what types o
by 1024core 7y ago
That is a good question. I'm not aware of someone exploring this avenue, but it would be interesting to see what categories of models are fooled by what types of noise.
- igorkraw 7y ago"Noise" is the wrong way to think about these IMO, while robustness to noise implies robustness to a degree of perturbations, the perturbations have clearly outlined "directions" which can be visualised via so called "church plots". Seyed-Mohsen Moosavi-Dezfooli http://smoosavi.me/ http://smoosavi.me/ and the lab of Prof. Frossard have done amazing work exploring this.