#adversarial-examples

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Examining the Adversarial Test Accuracy of Later Exits in NEO-KD Networks | HackerNoon

Later exits in NEO-KD show reduced adversarial test accuracy due to higher cumulative losses.
Ensemble strategies can improve performance at later exits by addressing adversarial challenges.

AI is vulnerable to attack. Can it ever be used safely?

Adversarial examples can deceive neural-network classifiers and expose differences in AI algorithms.
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