MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. (arXiv:2011.01509v6 [cs.CR] UPDATED)

Deep learning is a thriving field currently stuffed with many practical
applications and active research topics. It allows computers to learn from
experience and to understand the world in terms of a hierarchy of concepts,
with each being defined through its relations to simpler concepts. Relying on
the strong capabilities of deep learning, we propose a convolutional generative
adversarial network-based (Conv-GAN) framework titled MalFox, targeting
adversarial malware example generation against third-party black-box malware
detectors. Motivated by the rival game between …

adversarial box malware