Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN

no code implementations • 12 Nov 2019 • Feng Chen, Yunkai Shang, Bo Xu, Jincheng Hu

In comparison with the previous non-learning adversarial example attack approaches, the GAN-based adversarial attack example approach can generate the adversarial samples quickly using the GAN architecture every time facing a new sample after training, but meanwhile needs to perturb the attack samples in great quantities, which results in the unpractical application in reality.

Adversarial Attack BIG-bench Machine Learning