Deflecting Adversarial Attacks
Researchers introduce the notion of deflecting adversarial attacks, which presents a step towards ending the battle between attacks and defenses.
Tag: capsule network
Geoffrey Hinton’s Unsupervised Capsule Networks Achieve SOTA Results on SVHN
In 2017 the “Godfather of Deep Learning” Geoffrey Hinton and his students Sara Sabour and Nicholas Frosst proposed the discrimininatively trained, multi-layer capsule system “CapsNet” in their paper Dynamic Routing Between Capsules.
CapsAttacks: Testing Adversarial Attacks on Capsule Networks
Researchers from Technische Universität Wien, Austria, and Politecnico di Torino, Italy, explored adversarial attacks on Capsule Networks, proposing an algorithm which automatically generates targeted adversarial examples in black-box attack scenarios.