Apple or iPod??? Easy Fix for Adversarial Textual Attacks on OpenAI's CLIP Model! #Shorts
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#Shorts #shorts #openai

In the paper Multimodal Neurons in Artificial Neural Networks OpenAI suggests that CLIP can be attacked adversarially by putting textual labels onto pictures. They demonstrated this with an apple labeled as an iPod. I reproduce that experiment and suggest a simple, but effective fix. Yes, this is a joke ;)

Original Video: https://youtu.be/Z_kWZpgEZ7w

OpenAI does a huge investigation into the inner workings of their recent CLIP model via faceted feature visualization and finds amazing things: Some neurons in the last layer respond to distinct concepts across multiple modalities, meaning they fire for photographs, drawings, and signs depicting the same concept, even when the images are vastly distinct. Through manual examination, they identify and investigate neurons corresponding to persons, geographical regions, religions, emotions, and much more. In this video, I go through the publication and then I present my own findings from digging around in the OpenAI Microscope.

Paper: https://distill.pub/2021/multimodal-neurons/
My Findings: https://www.notion.so/CLIP-OpenAI-Microscope-Findings-27465eac373c451d8083428443e0837c
My Video on CLIP: https://youtu.be/T9XSU0pKX2E
My Video on Feature Visualizations & The OpenAI Microscope: https://youtu.be/Ok44otx90D4

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 OpenAI has a new network called Clip and it is easily confused. You might remember the experiment from the paper where it confuses an apple with a label saying iPod as an iPod. Now I've managed to actually reproduce that experiment. So with my own apple on the left clip will confidently predict an apple. But on the right clip will confidently predict an iPod. So it turns out if you just give it the opportunity for a third label saying wait a second this is just an apple with a label saying iPod it will confidently predict that for the picture on the right. Done, solved.
 OpenAI has a new network called Clip and it is easily confused.
 You might remember the experiment from the paper where it confuses an apple with a label
 saying iPod as an iPod.
 Now I've managed to actually reproduce that experiment.
 So with my own apple on the left clip will confidently predict an apple.
 But on the right clip will confidently predict an iPod.
 So it turns out if you just give it the opportunity for a third label saying wait a second this
 is just an apple with a label saying iPod it will confidently predict that for the picture
 on the right.
 Done, solved.