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Natural Adversarial Examples
v1v2v3v4 (latest)

Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019
16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
Basel Alomair
    OODD
ArXiv (abs)PDFHTML

Papers citing "Natural Adversarial Examples"

50 / 1,169 papers shown
Defensive Patches for Robust Recognition in the Physical World
Defensive Patches for Robust Recognition in the Physical WorldComputer Vision and Pattern Recognition (CVPR), 2022
Jinyang Guo
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
177
33
0
13 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic
  Control
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic ControlConference on Robot Learning (CoRL), 2022
Shubhankar Agarwal
Sandeep Chinchali
AAML
313
5
0
13 Apr 2022
No Token Left Behind: Explainability-Aided Image Classification and
  Generation
No Token Left Behind: Explainability-Aided Image Classification and GenerationEuropean Conference on Computer Vision (ECCV), 2022
Roni Paiss
Hila Chefer
Lior Wolf
VLM
209
35
0
11 Apr 2022
Robust Cross-Modal Representation Learning with Progressive
  Self-Distillation
Robust Cross-Modal Representation Learning with Progressive Self-DistillationComputer Vision and Pattern Recognition (CVPR), 2022
A. Andonian
Shixing Chen
Raffay Hamid
VLM
267
65
0
10 Apr 2022
Does Robustness on ImageNet Transfer to Downstream Tasks?
Does Robustness on ImageNet Transfer to Downstream Tasks?Computer Vision and Pattern Recognition (CVPR), 2022
Yutaro Yamada
Mayu Otani
OOD
243
32
0
08 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked AutoencodersEuropean Conference on Computer Vision (ECCV), 2022
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
427
349
0
04 Apr 2022
Improving Vision Transformers by Revisiting High-frequency Components
Improving Vision Transformers by Revisiting High-frequency ComponentsEuropean Conference on Computer Vision (ECCV), 2022
Jiawang Bai
Liuliang Yuan
Shutao Xia
Shuicheng Yan
Zhifeng Li
Wen Liu
ViT
325
119
0
03 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion
  Models
Generating High Fidelity Data from Low-density Regions using Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
287
82
0
31 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching
ViM: Out-Of-Distribution with Virtual-logit MatchingComputer Vision and Pattern Recognition (CVPR), 2022
Haoqi Wang
Zhizhong Li
Xue Jiang
Wayne Zhang
OODD
331
434
0
21 Mar 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike
Johannes Schneider
Giovanni Apruzzese
AAML
289
11
0
18 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OODCMLAI4TS
281
40
0
18 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?
Are Vision Transformers Robust to Spurious Correlations?International Journal of Computer Vision (IJCV), 2022
Soumya Suvra Ghosal
Yifei Ming
Shouqing Yang
ViT
239
43
0
17 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box
  methods is easy
Attacking deep networks with surrogate-based adversarial black-box methods is easyInternational Conference on Learning Representations (ICLR), 2022
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAMLMLAU
241
32
0
16 Mar 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning
  against Poisoning Attacks
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning AttacksInternational Conference on Learning Representations (ICLR), 2022
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Yue Liu
AAMLOffRL
187
39
0
16 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
513
1,873
0
10 Mar 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeInternational Conference on Machine Learning (ICML), 2022
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
728
1,298
1
10 Mar 2022
Joint rotational invariance and adversarial training of a dual-stream
  Transformer yields state of the art Brain-Score for Area V4
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
William Berrios
Arturo Deza
MedImViT
264
13
0
08 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Geodesic Multi-Modal Mixup for Robust Fine-TuningNeural Information Processing Systems (NeurIPS), 2022
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
457
39
0
08 Mar 2022
Improving generalization with synthetic training data for deep learning
  based quality inspection
Improving generalization with synthetic training data for deep learning based quality inspection
Antoine Cordier
Pierre Gutierrez
Victoire Plessis
170
6
0
25 Feb 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
224
18
0
24 Feb 2022
Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-DistributionInternational Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
312
831
0
21 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning
Deconstructing Distributions: A Pointwise Framework of LearningInternational Conference on Learning Representations (ICLR), 2022
Gal Kaplun
Nikhil Ghosh
Saurabh Garg
Boaz Barak
Preetum Nakkiran
OOD
214
24
0
20 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLMSSL
413
122
0
16 Feb 2022
Handcrafted Histological Transformer (H2T): Unsupervised Representation
  of Whole Slide Images
Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images
Q. Vu
K. Rajpoot
S. Raza
Nasir M. Rajpoot
ViTMedIm
285
47
0
14 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm
Predicting Out-of-Distribution Error with the Projection NormInternational Conference on Machine Learning (ICML), 2022
Yaodong Yu
Zitong Yang
Alexander Wei
Yi-An Ma
Jacob Steinhardt
OODD
207
51
0
11 Feb 2022
The Lifecycle of a Statistical Model: Model Failure Detection,
  Identification, and Refitting
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
Alnur Ali
Maxime Cauchois
John C. Duchi
149
3
0
08 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Benchmarking and Analyzing Point Cloud Classification under CorruptionsInternational Conference on Machine Learning (ICML), 2022
Jiawei Ren
Liang Pan
Ziwei Liu
3DPC
375
106
0
07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural NetworkNeural Information Processing Systems (NeurIPS), 2022
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCVBDL
187
43
0
07 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Adversarial Attack and Defense for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
339
2
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free LayersInternational Conference on Learning Representations (ICLR), 2022
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
266
9
0
06 Feb 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single CutInternational Conference on Machine Learning (ICML), 2022
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
273
35
0
28 Jan 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
254
27
0
27 Jan 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to
  Help System Designers Interrogate Model Capabilities
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Xin Du
Bénédicte Legastelois
B. Ganesh
A. Rajan
Hana Chockler
Vaishak Belle
Stuart Anderson
S. Ramamoorthy
AAML
202
6
0
27 Jan 2022
How Robust are Discriminatively Trained Zero-Shot Learning Models?
How Robust are Discriminatively Trained Zero-Shot Learning Models?Image and Vision Computing (IVC), 2022
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
220
15
0
26 Jan 2022
A Comprehensive Study of Image Classification Model Sensitivity to
  Foregrounds, Backgrounds, and Visual Attributes
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual AttributesComputer Vision and Pattern Recognition (CVPR), 2022
Mazda Moayeri
Phillip E. Pope
Yogesh Balaji
Soheil Feizi
VLM
219
67
0
26 Jan 2022
Out of Distribution Detection on ImageNet-O
Out of Distribution Detection on ImageNet-O
Anugya Srivastava
S. Jain
Mugdha Thigle
OOD
213
6
0
23 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020sComputer Vision and Pattern Recognition (CVPR), 2022
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
611
7,049
0
10 Jan 2022
Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
52
0
0
01 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate ShiftInternational Conference on Learning Representations (ICLR), 2021
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
441
74
0
31 Dec 2021
PRIME: A few primitives can boost robustness to common corruptions
PRIME: A few primitives can boost robustness to common corruptionsEuropean Conference on Computer Vision (ECCV), 2021
Apostolos Modas
Rahul Rade
Guillermo Ortiz-Jiménez
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
226
54
0
27 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
537
159
0
15 Dec 2021
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
R. Arghal
Eric Lei
Shirin Saeedi Bidokhti
166
21
0
14 Dec 2021
CLIP-Lite: Information Efficient Visual Representation Learning with
  Language Supervision
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
A. Shrivastava
Ramprasaath R. Selvaraju
Nikhil Naik
Vicente Ordonez
VLMCLIP
204
8
0
14 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain
  Generalization in 3D Object Detection
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
192
63
0
09 Dec 2021
The Effect of Model Size on Worst-Group Generalization
The Effect of Model Size on Worst-Group Generalization
Alan Pham
Eunice Chan
V. Srivatsa
Dhruba Ghosh
Yaoqing Yang
Yaodong Yu
Ruiqi Zhong
Joseph E. Gonzalez
Jacob Steinhardt
163
6
0
08 Dec 2021
Dilated convolution with learnable spacings
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
261
47
0
07 Dec 2021
Thinking Beyond Distributions in Testing Machine Learned Models
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh
B. Hutchinson
Christina Greer
Vinodkumar Prabhakaran
TTA
223
6
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SITA: Single Image Test-time Adaptation
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Ansh Khurana
S. Paul
Piyush Rai
Soma Biswas
Gaurav Aggarwal
299
59
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Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTAAAML
233
6
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
279
63
0
30 Nov 2021
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