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While the title is clickbaity (as in adversarial examples for fooling neural networks e.g. by adding a baseball ball to a whale to make it shark), I think it sh

by stared 8y ago

While the title is clickbaity (as in adversarial examples for fooling neural networks e.g. by adding a baseball ball to a whale to make it shark), I think it shows a nice phenomenon. I.e. a given illusion works similarily for humans and AI alike. Vide "dirty mind" pictures like posting https://images.baklol.com/13_jpegbd9cb76b39e925881bdb2956fd32ac91.jpeg https://images.baklol.com/13_jpegbd9cb76b39e925881bdb2956fd3... to Clarifai https://clarifai.com/models/nsfw-image-recognition-model-e9576d86d2004ed1a38ba0cf39ecb4b1 https://clarifai.com/models/nsfw-image-recognition-model-e95... gives 88% for NSFW.

wodenokoto 8y ago
Clickbaity? The title is downright misleading.
- IanCal 8y ago
  I'm a little confused, it seems quite accurate to me. It's the famous duck/rabbit rotation illusion and the google cloud vision API returns different results depending on rotation. What do you find misleading about it?
  - mannykannot 8y ago
    It is an example of an adversarial title - one that is sometimes mistaken for clickbait even though it is an accurate summary of the content. This response can be primed by repeated prior training on real clickbait.
  - stared 8y ago
    See e.g. https://towardsdatascience.com/breaking-neural-networks-with-adversarial-attacks-f4290a9a45aa https://towardsdatascience.com/breaking-neural-networks-with...
    - jasode 8y ago
      I wasn't the one who downvoted you but I agree with IanCal and this blog title didn't trigger my "clickbait" sensor. I disagree that this is an example of "adversarial attack". The famous duck/rabbit illusion has been around since ~1892[1] and therefore was not deliberately constructed to be an "adversary" to image classification neural networks. To me, it's an interesting example of feeding a well-known optical illusion to an AI algorithm and observing its behavior. [1] https://en.wikipedia.org/wiki/Rabbit%E2%80%93duck_illusion https://en.wikipedia.org/wiki/Rabbit%E2%80%93duck_illusion
      - stared 8y ago
        Yes, I agree with you. (No idea who downvoted my and why either.) This (well known) illusion is NOT an adversarial example. Though, I explain why for people working with AI (e.g. me) the title seemed like mentioning an adversarial example. There are plenty of examples of "just rotate and a vulture becomes an orangutan" where it does not look like an orangutan for humans. Vide: "A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations" https://arxiv.org/pdf/1712.02779.pdf https://arxiv.org/pdf/1712.02779.pdf

by stared 8y ago

wodenokoto 8y ago

Clickbaity? The title is downright misleading.

IanCal 8y ago
I'm a little confused, it seems quite accurate to me. It's the famous duck/rabbit rotation illusion and the google cloud vision API returns different results depending on rotation. What do you find misleading about it?
- mannykannot 8y ago
  It is an example of an adversarial title - one that is sometimes mistaken for clickbait even though it is an accurate summary of the content. This response can be primed by repeated prior training on real clickbait.
- stared 8y ago
  See e.g. https://towardsdatascience.com/breaking-neural-networks-with-adversarial-attacks-f4290a9a45aa https://towardsdatascience.com/breaking-neural-networks-with...
  - jasode 8y ago
    I wasn't the one who downvoted you but I agree with IanCal and this blog title didn't trigger my "clickbait" sensor. I disagree that this is an example of "adversarial attack". The famous duck/rabbit illusion has been around since ~1892[1] and therefore was not deliberately constructed to be an "adversary" to image classification neural networks. To me, it's an interesting example of feeding a well-known optical illusion to an AI algorithm and observing its behavior. [1] https://en.wikipedia.org/wiki/Rabbit%E2%80%93duck_illusion https://en.wikipedia.org/wiki/Rabbit%E2%80%93duck_illusion
    - stared 8y ago
      Yes, I agree with you. (No idea who downvoted my and why either.) This (well known) illusion is NOT an adversarial example. Though, I explain why for people working with AI (e.g. me) the title seemed like mentioning an adversarial example. There are plenty of examples of "just rotate and a vulture becomes an orangutan" where it does not look like an orangutan for humans. Vide: "A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations" https://arxiv.org/pdf/1712.02779.pdf https://arxiv.org/pdf/1712.02779.pdf