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Adversarial examples for the OpenAI CLIP in its zero-shot classification regime and their semantic generalization
It turns out that adversarial examples are very easy to find (<100 gradient steps typically) for the OpenAI CLIP model in the zero-shot classification regime. Those adversarial examples generalize to semantically related text descriptions of the adversarial class.
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Adversarial examples for the OpenAI CLIP in its zero-shot classification regime and their semantic generalization
It turns out that adversarial examples are very easy to find (<100 gradient steps typically) for the OpenAI CLIP model in the zero-shot classification regime. Those adversarial examples generalize to semantically related text descriptions of the adversarial class.
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Adversarial examples for the OpenAI CLIP in its zero-shot classification regime and their semantic generalization
It turns out that adversarial examples are very easy to find (<100 gradient steps typically) for the OpenAI CLIP model in the zero-shot classification regime. Those adversarial examples generalize to semantically related text descriptions of the adversarial class.
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