389 citations · 2k across the 19 of their papers we have counts for
4 papers · 1 filter
The Robust Manifold Defense: Adversarial Training using Generative Models
Ajil Jalal, Andrew Ilyas, Constantinos Daskalakis +1
We propose a new type of attack for finding adversarial examples for image classifiers. Our method exploits spanners, i.e. deep neural networks whose input space is low-dimensional…
Query-Efficient Black-box Adversarial Examples (superceded)
Andrew Ilyas, Logan Engstrom, Anish Athalye +1
Note that this paper is superceded by "Black-Box Adversarial Attacks with Limited Queries and Information." Current neural network-based image classifiers are susceptible to advers…
Training GANs with Optimism
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis +1
We address the issue of limit cycling behavior in training Generative Adversarial Networks and propose the use of Optimistic Mirror Decent (OMD) for training Wasserstein GANs. Rece…
Extracting Syntactic Patterns from Databases
Andrew Ilyas, Joana M. F. da Trindade, Raul Castro Fernandez +1
Many database columns contain string or numerical data that conforms to a pattern, such as phone numbers, dates, addresses, product identifiers, and employee ids. These patterns ar…