Timezone: »
Poster
Exploring the Landscape of Spatial Robustness
Logan Engstrom · Brandon Tran · Dimitris Tsipras · Ludwig Schmidt · Aleksander Madry
The study of adversarial robustness has so far largely focused on perturbations
bound in $\ell_p$-norms. However, state-of-the-art models turn out to be also vulnerable to other, more natural classes of perturbations such as translations and rotations. In this work, we thoroughly investigate the vulnerability of
neural network--based classifiers to rotations and translations. While data
augmentation offers relatively small robustness, we use ideas from robust
optimization and test-time input aggregation to significantly improve robustness.
Finally we find that, in contrast to the $\ell_p$-norm case, first-order
methods cannot reliably find worst-case perturbations. This highlights
spatial robustness as a fundamentally different setting requiring additional
study.
Author Information
Logan Engstrom (MIT)
Brandon Tran (MIT)
Dimitris Tsipras (MIT)
Ludwig Schmidt (UC Berkeley)
Aleksander Madry (MIT)
Related Events (a corresponding poster, oral, or spotlight)
-
2019 Oral: Exploring the Landscape of Spatial Robustness »
Wed Jun 12th 11:20 -- 11:25 PM Room Seaside Ballroom
More from the Same Authors
-
2021 Poster: Leveraging Sparse Linear Layers for Debuggable Deep Networks »
Eric Wong · Shibani Santurkar · Aleksander Madry -
2021 Oral: Leveraging Sparse Linear Layers for Debuggable Deep Networks »
Eric Wong · Shibani Santurkar · Aleksander Madry -
2020 Poster: From ImageNet to Image Classification: Contextualizing Progress on Benchmarks »
Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry -
2020 Poster: Identifying Statistical Bias in Dataset Replication »
Logan Engstrom · Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Jacob Steinhardt · Aleksander Madry -
2019 Workshop: Identifying and Understanding Deep Learning Phenomena »
Hanie Sedghi · Samy Bengio · Kenji Hata · Aleksander Madry · Ari Morcos · Behnam Neyshabur · Maithra Raghu · Ali Rahimi · Ludwig Schmidt · Ying Xiao -
2018 Poster: On the Limitations of First-Order Approximation in GAN Dynamics »
Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt -
2018 Oral: On the Limitations of First-Order Approximation in GAN Dynamics »
Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt -
2018 Poster: Black-box Adversarial Attacks with Limited Queries and Information »
Andrew Ilyas · Logan Engstrom · Anish Athalye · Jessy Lin -
2018 Oral: Black-box Adversarial Attacks with Limited Queries and Information »
Andrew Ilyas · Logan Engstrom · Anish Athalye · Jessy Lin -
2018 Poster: Synthesizing Robust Adversarial Examples »
Anish Athalye · Logan Engstrom · Andrew Ilyas · Kevin Kwok -
2018 Poster: A Classification-Based Study of Covariate Shift in GAN Distributions »
Shibani Santurkar · Ludwig Schmidt · Aleksander Madry -
2018 Oral: Synthesizing Robust Adversarial Examples »
Anish Athalye · Logan Engstrom · Andrew Ilyas · Kevin Kwok -
2018 Oral: A Classification-Based Study of Covariate Shift in GAN Distributions »
Shibani Santurkar · Ludwig Schmidt · Aleksander Madry