Protection against Cloning for Deep Learning

no code implementations • 29 Mar 2018 • Richard Kenway

The susceptibility of deep learning to adversarial attack can be understood in the framework of the Renormalisation Group (RG) and the vulnerability of a specific network may be diagnosed provided the weights in each layer are known.

Adversarial Attack

Vulnerability of Deep Learning

no code implementations • 16 Mar 2018 • Richard Kenway

The Renormalisation Group (RG) provides a framework in which it is possible to assess whether a deep-learning network is sensitive to small changes in the input data and hence prone to error, or susceptible to adversarial attack.

Adversarial Attack General Classification