Adversarial Attack

6 benchmarks1808 papers

An Adversarial Attack is a technique to find a perturbation that changes the prediction of a machine learning model. The perturbation can be very small and imperceptible to human eyes.

<span class="description-source">Source: Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks </span>

Benchmarks

Adversarial Attack on CIFAR-10

Attack: PGD20Attack: AutoAttackAttack: DeepFoolRobust Accuracy

Adversarial Attack on CIFAR-100

Attack: AutoAttack

Adversarial Attack on WSJ0-2mix

SDR