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07/04/2019
Adversarial Robustness through Local Linearization
Adversarial training is an effective methodology for training deep neura...
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06/04/2019
Learning dynamic polynomial proofs
Polynomial inequalities lie at the heart of many mathematical discipline...
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05/31/2019
Are Labels Required for Improving Adversarial Robustness?
Recent work has uncovered the interesting (and somewhat surprising) find...
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12/06/2018
Verification of deep probabilistic models
Probabilistic models are a critical part of the modern deep learning too...
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11/23/2018
Robustness via curvature regularization, and vice versa
State-of-the-art classifiers have been shown to be largely vulnerable to...
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05/02/2018
SaaS: Speed as a Supervisor for Semi-supervised Learning
We introduce the SaaS Algorithm for semi-supervised learning, which uses...
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02/23/2018
Adversarial vulnerability for any classifier
Despite achieving impressive and often superhuman performance on multipl...
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02/22/2018
Robustness of classifiers to uniform â„“_p and Gaussian noise
We study the robustness of classifiers to various kinds of random noise ...
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05/26/2017
Analysis of universal adversarial perturbations
Deep networks have recently been shown to be vulnerable to universal per...
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05/26/2017
Classification regions of deep neural networks
The goal of this paper is to analyze the geometric properties of deep ne...
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10/26/2016
Universal adversarial perturbations
Given a state-of-the-art deep neural network classifier, we show the exi...
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08/31/2016
Robustness of classifiers: from adversarial to random noise
Several recent works have shown that state-of-the-art classifiers are vu...
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07/23/2015
Manitest: Are classifiers really invariant?
Invariance to geometric transformations is a highly desirable property o...
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05/19/2015
Multi-task additive models with shared transfer functions based on dictionary learning
Additive models form a widely popular class of regression models which r...
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02/09/2015
Analysis of classifiers' robustness to adversarial perturbations
The goal of this paper is to analyze an intriguing phenomenon recently d...
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02/09/2014
Dictionary learning for fast classification based on soft-thresholding
Classifiers based on sparse representations have recently been shown to ...
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01/28/2013