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20162026
most citedCertified Adversarial Robustness via Randomized Smoothing

617 citations · 2.2k across the 122 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cs.LG2017

Provable defenses against adversarial examples via the convex outer adversarial polytope

Eric Wong, J. Zico Kolter

We propose a method to learn deep ReLU-based classifiers that are provably robust against norm-bounded adversarial perturbations on the training data. For previously unseen example…

cs.CY2017★ 21 cited

Intelligent Pothole Detection and Road Condition Assessment

Umang Bhatt, Shouvik Mani, Edgar Xi +1

Poor road conditions are a public nuisance, causing passenger discomfort, damage to vehicles, and accidents. In the U.S., road-related conditions are a factor in 22,000 of the 42,0…

math.OC2017★ 4 cited

A Semismooth Newton Method for Fast, Generic Convex Programming

Alnur Ali, Eric Wong, J. Zico Kolter

We introduce Newton-ADMM, a method for fast conic optimization. The basic idea is to view the residuals of consecutive iterates generated by the alternating direction method of mul…

cs.LG2017★ 76 cited

Gradient descent GAN optimization is locally stable

Vaishnavh Nagarajan, J. Zico Kolter

Despite the growing prominence of generative adversarial networks (GANs), optimization in GANs is still a poorly understood topic. In this paper, we analyze the "gradient descent"…

math.OC2017

The Mixing method: low-rank coordinate descent for semidefinite programming with diagonal constraints

Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter

In this paper, we propose a low-rank coordinate descent approach to structured semidefinite programming with diagonal constraints. The approach, which we call the Mixing method, is…

cs.LG2017

Task-based End-to-end Model Learning in Stochastic Optimization

Priya L. Donti, Brandon Amos, J. Zico Kolter

With the increasing popularity of machine learning techniques, it has become common to see prediction algorithms operating within some larger process. However, the criteria by whic…