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A Fourier Perspective on Model Robustness in Computer Vision

A Fourier Perspective on Model Robustness in Computer Vision

21 June 2019
Dong Yin
Raphael Gontijo-Lopes
Jonathon Shlens
E. D. Cubuk
Justin Gilmer
    OOD
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Papers citing "A Fourier Perspective on Model Robustness in Computer Vision"

50 / 85 papers shown
Title
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution
X. Wang
Fei Ge
Jinchen Zhu
M. Zhang
Qi Wu
Jifeng Ren Shizhuang Weng
38
0
0
26 Apr 2025
Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction
Jialiang Zhang
Feng Gao
Yanhai Gan
Junyu Dong
Q. Du
26
0
0
23 Apr 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
W. Wang
Caifeng Shan
L. Wang
AAML
91
0
0
21 Apr 2025
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Y. Huang
Mi Zhang
Z. Wang
Wenxuan Li
Min Yang
AI4TS
AAML
54
0
0
12 Mar 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Xiaoran Xu
Jiangang Yang
Wenhui Shi
Siyuan Ding
Luqing Luo
Jian Liu
81
1
0
24 Feb 2025
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
Yue Yao
Shengchao Yan
Daniel Goehring
Wolfram Burgard
Joerg Reichardt
OODD
45
2
0
28 Jan 2025
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Boqian Wu
Q. Xiao
Shunxin Wang
N. Strisciuglio
Mykola Pechenizkiy
M. V. Keulen
D. Mocanu
Elena Mocanu
OOD
3DH
52
0
0
03 Oct 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Yuanzheng Cai
Zhiming Luo
Shaozi Li
AAML
59
0
0
04 Jul 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
24
1
0
06 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
36
0
0
16 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
39
3
0
29 Mar 2024
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Learning to Remove Wrinkled Transparent Film with Polarized Prior
Jiaqi Tang
Ruizheng Wu
Xiaogang Xu
Sixing Hu
Ying-Cong Chen
29
0
0
07 Mar 2024
Understanding the robustness difference between stochastic gradient
  descent and adaptive gradient methods
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
A. Ma
Yangchen Pan
Amir-massoud Farahmand
AAML
25
5
0
13 Aug 2023
Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via
  Input Gradient Distillation
Releasing Inequality Phenomena in L∞L_{\infty}L∞​-Adversarial Training via Input Gradient Distillation
Junxi Chen
Junhao Dong
Xiaohua Xie
AAML
18
0
0
16 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General
  Robustness
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAML
OOD
26
1
0
15 May 2023
Demystifying Causal Features on Adversarial Examples and Causal
  Inoculation for Robust Network by Adversarial Instrumental Variable
  Regression
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
Junho Kim
Byung-Kwan Lee
Yonghyun Ro
CML
AAML
20
18
0
02 Mar 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
22
2
0
31 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action
  Recognition
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Hasan Hammoud
Shuming Liu
Mohammad Alkhrashi
Fahad Albalawi
Bernard Ghanem
AAML
32
8
0
03 Jan 2023
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
35
5
0
09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting
  Data Augmentation
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation
Zhendong Liu
Wenyu Jiang
Min Guo
Chongjun Wang
AAML
21
1
0
08 Dec 2022
PASTA: Proportional Amplitude Spectrum Training Augmentation for
  Syn-to-Real Domain Generalization
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
Prithvijit Chattopadhyay
Kartik Sarangmath
Vivek Vijaykumar
Judy Hoffman
47
24
0
02 Dec 2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Data-free Defense of Black Box Models Against Adversarial Attacks
Gaurav Kumar Nayak
Inder Khatri
Ruchit Rawal
Anirban Chakraborty
AAML
25
1
0
03 Nov 2022
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
MLAU
AAML
21
0
0
28 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition
Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Y. Ma
FAtt
35
27
0
24 Oct 2022
Game-Theoretic Understanding of Misclassification
Game-Theoretic Understanding of Misclassification
Kosuke Sumiyasu
K. Kawamoto
Hiroshi Kera
29
1
0
07 Oct 2022
Decorrelative Network Architecture for Robust Electrocardiogram
  Classification
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
13
2
0
19 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
21
154
0
12 Jul 2022
Robustness Analysis of Video-Language Models Against Visual and Language
  Perturbations
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
Madeline Chantry Schiappa
Shruti Vyas
Hamid Palangi
Y. S. Rawat
Vibhav Vineet
VLM
120
17
0
05 Jul 2022
Large-scale Robustness Analysis of Video Action Recognition Models
Large-scale Robustness Analysis of Video Action Recognition Models
Madeline Chantry Schiappa
Naman Biyani
Prudvi Kamtam
Shruti Vyas
Hamid Palangi
Vibhav Vineet
Y. S. Rawat
AAML
29
24
0
04 Jul 2022
Inception Transformer
Inception Transformer
Chenyang Si
Weihao Yu
Pan Zhou
Yichen Zhou
Xinchao Wang
Shuicheng Yan
ViT
26
187
0
25 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image
  Classifiers against Common Corruption and Adversarial Perturbations?
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
22
13
0
09 May 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Rui Tian
Zuxuan Wu
Qi Dai
Han Hu
Yu-Gang Jiang
ViT
AAML
21
4
0
26 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency Components
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
W. Liu
ViT
11
90
0
03 Apr 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
43
395
0
25 Mar 2022
Deep Frequency Filtering for Domain Generalization
Deep Frequency Filtering for Domain Generalization
Shiqi Lin
Zhizheng Zhang
Zhipeng Huang
Yan Lu
Cuiling Lan
...
Jiang Wang
Zicheng Liu
Amey Parulkar
V. Navkal
Zhibo Chen
27
49
0
23 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
31
100
0
10 Mar 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty
  Calibration
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration
Ryan Soklaski
Michael Yee
Theodoros Tsiligkaridis
AAML
14
14
0
24 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
14
12
0
23 Feb 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
32
465
0
14 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Jiawei Ren
Liang Pan
Ziwei Liu
3DPC
13
80
0
07 Feb 2022
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures
Dan Hendrycks
Andy Zou
Mantas Mazeika
Leonard Tang
Bo-wen Li
D. Song
Jacob Steinhardt
UQCV
23
136
0
09 Dec 2021
Editing a classifier by rewriting its prediction rules
Editing a classifier by rewriting its prediction rules
Shibani Santurkar
Dimitris Tsipras
Mahalaxmi Elango
David Bau
Antonio Torralba
A. Madry
KELM
175
89
0
02 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
28
21
0
01 Dec 2021
Pyramid Adversarial Training Improves ViT Performance
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
23
56
0
30 Nov 2021
AugLiChem: Data Augmentation Library of Chemical Structures for Machine
  Learning
AugLiChem: Data Augmentation Library of Chemical Structures for Machine Learning
Rishikesh Magar
Yuyang Wang
Cooper Lorsung
Chen Liang
Hariharan Ramasubramanian
Peiyuan Li
A. Farimani
26
27
0
30 Nov 2021
Backdoor Attack through Frequency Domain
Backdoor Attack through Frequency Domain
Tong Wang
Yuan Yao
Feng Xu
Shengwei An
Hanghang Tong
Ting Wang
AAML
20
33
0
22 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers
Wiggling Weights to Improve the Robustness of Classifiers
Sadaf Gulshad
Ivan Sosnovik
A. Smeulders
OOD
28
0
0
18 Nov 2021
Detecting AutoAttack Perturbations in the Frequency Domain
Detecting AutoAttack Perturbations in the Frequency Domain
P. Lorenz
P. Harder
Dominik Strassel
M. Keuper
J. Keuper
AAML
9
13
0
16 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and
  Sensitivity-based Robustness
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness
Ke Sun
Mingjie Li
Zhouchen Lin
AAML
19
2
0
03 Nov 2021
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