ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.07174
  4. Cited By
Natural Adversarial Examples

Natural Adversarial Examples

16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
    OODD
ArXivPDFHTML

Papers citing "Natural Adversarial Examples"

50 / 1,026 papers shown
Title
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path
  and Beyond
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Haoxiang Wang
Bo-wen Li
Han Zhao
OOD
CLL
32
38
0
18 Apr 2022
NICO++: Towards Better Benchmarking for Domain Generalization
NICO++: Towards Better Benchmarking for Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Haoxin Liu
Zheyan Shen
Peng Cui
OOD
35
75
0
17 Apr 2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Visual Attention Methods in Deep Learning: An In-Depth Survey
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Ajmal Mian
34
145
0
16 Apr 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
31
311
0
14 Apr 2022
Defensive Patches for Robust Recognition in the Physical World
Defensive Patches for Robust Recognition in the Physical World
Jiakai Wang
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
27
30
0
13 Apr 2022
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic
  Control
Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control
Shubhankar Agarwal
Sandeep Chinchali
AAML
40
4
0
13 Apr 2022
No Token Left Behind: Explainability-Aided Image Classification and
  Generation
No Token Left Behind: Explainability-Aided Image Classification and Generation
Roni Paiss
Hila Chefer
Lior Wolf
VLM
34
29
0
11 Apr 2022
Robust Cross-Modal Representation Learning with Progressive
  Self-Distillation
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
A. Andonian
Shixing Chen
Raffay Hamid
VLM
29
54
0
10 Apr 2022
Does Robustness on ImageNet Transfer to Downstream Tasks?
Does Robustness on ImageNet Transfer to Downstream Tasks?
Yutaro Yamada
Mayu Otani
OOD
32
27
0
08 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
49
265
0
04 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
Wen Liu
ViT
16
90
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 Models
Vikash Sehwag
C. Hazirbas
Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
DiffM
38
66
0
31 Mar 2022
ViM: Out-Of-Distribution with Virtual-logit Matching
ViM: Out-Of-Distribution with Virtual-logit Matching
Haoqi Wang
Zhizhong Li
Xue Jiang
Wayne Zhang
OODD
26
314
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
32
8
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
OOD
CML
AI4TS
37
29
0
18 Mar 2022
Are Vision Transformers Robust to Spurious Correlations?
Are Vision Transformers Robust to Spurious Correlations?
Soumya Suvra Ghosal
Yifei Ming
Yixuan Li
ViT
33
29
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 easy
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
19
25
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 Attacks
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Bo-wen Li
AAML
OffRL
32
34
0
16 Mar 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLM
CLIP
VPVLM
53
1,294
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 time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
54
924
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
MedIm
ViT
30
13
0
08 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
33
26
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
24
2
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
22
14
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-Distribution
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
50
645
0
21 Feb 2022
Deconstructing Distributions: A Pointwise Framework of Learning
Deconstructing Distributions: A Pointwise Framework of Learning
Gal Kaplun
Nikhil Ghosh
Saurabh Garg
Boaz Barak
Preetum Nakkiran
OOD
33
21
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
VLM
SSL
26
110
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
ViT
MedIm
25
33
0
14 Feb 2022
Predicting Out-of-Distribution Error with the Projection Norm
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu
Zitong Yang
Alexander Wei
Yi Ma
Jacob Steinhardt
OODD
20
43
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
27
2
0
08 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
25
80
0
07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural
  Network
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
56
26
0
07 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
30
1
0
07 Feb 2022
Learning Features with Parameter-Free Layers
Learning Features with Parameter-Free Layers
Dongyoon Han
Y. Yoo
Beomyoung Kim
Byeongho Heo
35
8
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 Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
42
27
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
33
23
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
27
6
0
27 Jan 2022
How Robust are Discriminatively Trained Zero-Shot Learning Models?
How Robust are Discriminatively Trained Zero-Shot Learning Models?
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
30
14
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 Attributes
Mazda Moayeri
Phillip E. Pope
Yogesh Balaji
S. Feizi
VLM
33
52
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
59
5
0
23 Jan 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
42
4,989
0
10 Jan 2022
Turath-150K: Image Database of Arab Heritage
Turath-150K: Image Database of Arab Heritage
Dani Kiyasseh
Rasheed el-Bouri
24
0
0
01 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
28
68
0
31 Dec 2021
PRIME: A few primitives can boost robustness to common corruptions
PRIME: A few primitives can boost robustness to common corruptions
Apostolos Modas
Rahul Rade
Guillermo Ortiz-Jiménez
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
25
42
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
139
130
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
19
19
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
VLM
CLIP
30
6
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
29
52
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
23
5
0
08 Dec 2021
Dilated convolution with learnable spacings
Dilated convolution with learnable spacings
Ismail Khalfaoui-Hassani
Thomas Pellegrini
T. Masquelier
28
31
0
07 Dec 2021
Previous
123...161718192021
Next