adversarial examples and attacks on ai systems
Adversarial examples refer to inputs that are subtly modified to intentionally deceive or cause misclassification in AI systems. Attacks on AI systems involve deliberate manipulation of the input data to exploit weaknesses or vulnerabilities, resulting in incorrect or unexpected outputs.
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