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stat.ML2020
Polarizing Front Ends for Robust CNNs
Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic +2
The vulnerability of deep neural networks to small, adversarially designed perturbations can be attributed to their "excessive linearity." In this paper, we propose a bottom-up str…
stat.ML2018
Combating Adversarial Attacks Using Sparse Representations
Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow +1
It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks (DNNs). In this paper, we make the case that sparse representa…