Timezone: »
Poster
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi · Sven Gowal · Dan Andrei Calian · Florian Stimberg · Olivia Wiles · Timothy A Mann
Adversarial training suffers from robust overfitting, a phenomenon where the robust test accuracy starts to decrease during training. In this paper, we focus on reducing robust overfitting by using common data augmentation schemes. We demonstrate that, contrary to previous findings, when combined with model weight averaging, data augmentation can significantly boost robust accuracy. Furthermore, we compare various augmentations techniques and observe that spatial composition techniques work the best for adversarial training. Finally, we evaluate our approach on CIFAR-10 against $\ell_\infty$ and $\ell_2$ norm-bounded perturbations of size $\epsilon = 8/255$ and $\epsilon = 128/255$, respectively. We show large absolute improvements of +2.93% and +2.16% in robust accuracy compared to previous state-of-the-art methods. In particular, against $\ell_\infty$ norm-bounded perturbations of size $\epsilon = 8/255$, our model reaches 60.07% robust accuracy without using any external data. We also achieve a significant performance boost with this approach while using other architectures and datasets such as CIFAR-100, SVHN and TinyImageNet.
Author Information
Sylvestre-Alvise Rebuffi (University of Oxford)
Sven Gowal (DeepMind)
Dan Andrei Calian (DeepMind)
Florian Stimberg (DeepMind)
Olivia Wiles (DeepMind)
Timothy A Mann (DeepMind)
More from the Same Authors
-
2021 Spotlight: Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications »
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar -
2021 : A fine-grained analysis of robustness to distribution shifts »
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Taylan Cemgil -
2022 : Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning »
Olivia Wiles · Isabela Albuquerque · Sven Gowal -
2021 Poster: Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications »
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar -
2021 Poster: Improving Robustness using Generated Data »
Sven Gowal · Sylvestre-Alvise Rebuffi · Olivia Wiles · Florian Stimberg · Dan Andrei Calian · Timothy A Mann -
2020 : Mini-panel discussion 2 - Real World RL: An industry perspective »
Franziska Meier · Gabriel Dulac-Arnold · Shie Mannor · Timothy A Mann -
2020 Workshop: The Challenges of Real World Reinforcement Learning »
Daniel Mankowitz · Gabriel Dulac-Arnold · Shie Mannor · Omer Gottesman · Anusha Nagabandi · Doina Precup · Timothy A Mann · Gabriel Dulac-Arnold -
2020 Poster: The Autoencoding Variational Autoencoder »
Taylan Cemgil · Sumedh Ghaisas · Krishnamurthy Dvijotham · Sven Gowal · Pushmeet Kohli -
2020 Spotlight: The Autoencoding Variational Autoencoder »
Taylan Cemgil · Sumedh Ghaisas · Krishnamurthy Dvijotham · Sven Gowal · Pushmeet Kohli -
2019 Poster: Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates »
Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu -
2019 Poster: Adversarial Robustness through Local Linearization »
Chongli Qin · James Martens · Sven Gowal · Dilip Krishnan · Krishnamurthy Dvijotham · Alhussein Fawzi · Soham De · Robert Stanforth · Pushmeet Kohli -
2018 : Accepted papers »
Sven Gowal · Bogdan Kulynych · Marius Mosbach · Nicholas Frosst · Phil Roth · Utku Ozbulak · Simral Chaudhary · Toshiki Shibahara · Salome Viljoen · Nikita Samarin · Briland Hitaj · Rohan Taori · Emanuel Moss · Melody Guan · Lukas Schott · Angus Galloway · Anna Golubeva · Xiaomeng Jin · Felix Kreuk · Akshayvarun Subramanya · Vipin Pillai · Hamed Pirsiavash · Giuseppe Ateniese · Ankita Kalra · Logan Engstrom · Anish Athalye -
2017 Poster: Learning multiple visual domains with residual adapters »
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi -
2017 Spotlight: Learning multiple visual domains with residual adapters »
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi