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Alright, so this is an image augmentation problem. Another training set with white noise variations, random unrelated pixellation/overlay texts can solve this.
by bitL 9y ago
Alright, so this is an image augmentation problem. Another training set with white noise variations, random unrelated pixellation/overlay texts can solve this. Simply your training wasn't general enough.
- visarga 9y agoConstructing adversarial examples is a sophisticated task, but it's being done.
- bitL 9y agoSure, and it should go hand in hand with appropriate image augmentation. Maybe make something like a GAN that would try to generate anti-obfuscation image augmentation for every new adversarial example...? Our eyes can be fooled easily anyway.