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02/21/2023
Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker
Finding classifiers robust to adversarial examples is critical for their...
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10/11/2021
Parameterizing Activation Functions for Adversarial Robustness
Deep neural networks are known to be vulnerable to adversarially perturb...
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04/19/2021
Improving Adversarial Robustness Using Proxy Distributions
We focus on the use of proxy distributions, i.e., approximations of the ...
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07/17/2020
Neural Networks with Recurrent Generative Feedback
Neural networks are vulnerable to input perturbations such as additive n...
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07/10/2019
