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04/26/2020
Improved Image Wasserstein Attacks and Defenses
Robustness against image perturbations bounded by a â„“_p ball have been w...
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03/04/2020
Black-box Smoothing: A Provable Defense for Pretrained Classifiers
We present a method for provably defending any pretrained image classifi...
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02/19/2020
Randomized Smoothing of All Shapes and Sizes
Randomized smoothing is a recently proposed defense against adversarial ...
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07/24/2019
A Fine-Grained Spectral Perspective on Neural Networks
Are neural networks biased toward simple functions? Does depth always he...
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06/09/2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Recent works have shown the effectiveness of randomized smoothing as a s...
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02/23/2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Verification of neural networks enables us to gauge their robustness aga...
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02/23/2019
A Convex Relaxation Barrier to Tight Robust Verification of Neural Networks
Verification of neural networks enables us to gauge their robustness aga...
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10/08/2018
Deep Diffeomorphic Normalizing Flows
The Normalizing Flow (NF) models a general probability density by estima...
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03/05/2018
Learning to Sequence Robot Behaviors for Visual Navigation
Recent literature in the robotics community has focused on learning robo...
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03/05/2018
Hierarchical Reinforcement Learning for Sequencing Behaviors
Recent literature in the robot learning community has focused on learnin...
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11/23/2017
A surgical system for automatic registration, stiffness mapping and dynamic image overlay
In this paper we develop a surgical system using the da Vinci research k...
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11/19/2017
