An Empirical Evaluation of Adversarial Robustness under Transfer Learning.
Published in International Conference on Machine Learning (ICML) 2019, Understanding and Improving Generalization Workshop, 2019
Recommended citation: Davchev, T., Korres, T., Fotiadis, S., Antonopoulos, N. and Ramamoorthy, S., 2019. An empirical evaluation of adversarial robustness under transfer learning. International Conference on Machine Learning (ICML) 2019, Understanding and Improving Generalization Workshop. https://arxiv.org/pdf/1905.02675.pdf
This paper studies the effects of using robust optimisation in the context of adversarial attacks. This allows us to identify transfer learning strategies under which adversarial defences are successfully retained, in addition to revealing potential vulnerabilities.