A Fourier Perspective on Model Robustness in Computer Vision

21 June 2019

Dong Yin

Raphael Gontijo-Lopes

Justin Gilmer

Papers citing "A Fourier Perspective on Model Robustness in Computer Vision"

39 / 89 papers shown

Title
Detecting AutoAttack Perturbations in the Frequency Domain P. Lorenz P. Harder Dominik Strassel M. Keuper J. Keuper AAML 11 13 0 16 Nov 2021
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea J. C. V. Gemert Nergis Tomen 27 7 0 12 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness Ke Sun Mingjie Li Zhouchen Lin AAML 21 2 0 03 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 31 300 0 18 Oct 2021
Improving Adversarial Robustness for Free with Snapshot Ensemble Yihao Wang AAML UQCV 9 1 0 07 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 44 78 0 06 Oct 2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil Raphael Gontijo-Lopes Rebecca Roelofs 35 28 0 06 Oct 2021
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function Md Tahmid Hossain S. Teng Ferdous Sohel Guojun Lu 49 13 0 03 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Bernard Ghanem AAML 18 13 0 12 Sep 2021
Regional Adversarial Training for Better Robust Generalization Chuanbiao Song Yanbo Fan Yichen Yang Baoyuan Wu Yiming Li Zhifeng Li Kun He AAML OOD 13 6 0 02 Sep 2021
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness James Diffenderfer Brian Bartoldson Shreya Chaganti Jize Zhang B. Kailkhura OOD 26 69 0 16 Jun 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 19 305 0 17 May 2021
When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks Jiahang Wang Sheng Jin Wentao Liu Weizhong Liu Chao Qian Ping Luo AAML 11 56 0 13 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger M. Wyart OOD 36 15 0 06 May 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness Rémi Bernhard Pierre-Alain Moëllic Martial Mermillod Yannick Bourrier Romain Cohendet M. Solinas M. Reyboz AAML 21 16 0 26 Apr 2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness Jie Ren Die Zhang Yisen Wang Lu Chen Zhanpeng Zhou ... Xu Cheng Xin Eric Wang Meng Zhou Jie Shi Quanshi Zhang AAML 69 22 0 12 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt M. Keuper J. Keuper AAML 19 48 0 04 Mar 2021
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness Eric Mintun A. Kirillov Saining Xie 20 89 0 22 Feb 2021
Fighting deepfakes by detecting GAN DCT anomalies O. Giudice Luca Guarnera S. Battiato 28 85 0 24 Jan 2021
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 33 32 0 20 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 48 669 0 06 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 19 19 0 19 Aug 2020
Deep multi-metric learning for text-independent speaker verification Jiwei Xu Xinggang Wang Bin Feng Wenyu Liu 41 25 0 17 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 531 0 01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 69 1,666 0 29 Jun 2020
Neural Anisotropy Directions Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 26 16 0 17 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 20 246 0 13 Jun 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning Zeyuan Allen-Zhu Yuanzhi Li MLT AAML 27 146 0 20 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang AAML 33 222 0 25 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 17 28 0 13 Feb 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 19 64 0 16 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 57 3,411 0 30 Sep 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 50 1,419 0 16 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Tsung-Yi Lin Jonathon Shlens Quoc V. Le 30 523 0 26 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 30 204 0 06 Jun 2019
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 43 224 0 19 Feb 2018