NeurIPS 2021poster58 citations
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman, Andrew Ilyas, Logan Engstrom, Sai Vemprala, Aleksander Madry, Ashish Kapoor
Abstract
We study a class of computer vision settings wherein one can modify the design of the objects being recognized. We develop a framework that leverages this capability---and deep networks' unusual sensitivity to input perturbations---to design ``robust objects,'' i.e., objects that are explicitly optimized to be confidently classified. Our framework yields improved performance on standard benchmarks, a simulated robotics environment, and physical-world experiments.
adversarial robustnessadversarial examplescomputer vision
BibTeX
@inproceedings{
salman2021unadversarial,
title={Unadversarial Examples: Designing Objects for Robust Vision},
author={Hadi Salman and Andrew Ilyas and Logan Engstrom and Sai Vemprala and Aleksander Madry and Ashish Kapoor},
booktitle={Advances in Neural Information Processing Systems},
editor={A. Beygelzimer and Y. Dauphin and P. Liang and J. Wortman Vaughan},
year={2021},
url={https://openreview.net/forum?id=DxXNxZQVcc}
}