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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
Seasoning Model Soups for Robustness to Adversarial and Natural
  Distribution Shifts
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
Francesco Croce
Sylvestre-Alvise Rebuffi
Evan Shelhamer
Sven Gowal
AAML
42
17
0
20 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric
  Perspective
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Yuhang Zhang
Weihong Deng
Liang Zheng
OODD
37
4
0
16 Feb 2023
Towards Efficient Visual Adaption via Structural Re-parameterization
Towards Efficient Visual Adaption via Structural Re-parameterization
Gen Luo
Minglang Huang
Yiyi Zhou
Xiaoshuai Sun
Guannan Jiang
Zhiyu Wang
Rongrong Ji
VLM
VPVLM
14
78
0
16 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
67
353
0
13 Feb 2023
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt
  Ensembling in Text-Image Models
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
J. Allingham
Jie Jessie Ren
Michael W. Dusenberry
Xiuye Gu
Huayu Chen
Dustin Tran
J. Liu
Balaji Lakshminarayanan
LLMAG
VLM
35
33
0
13 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
90
574
0
10 Feb 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper
Yuxiao Li
Jiawei Li
Tong Bu
Ke Zhang
K. Hariharan
Dylan Hadfield-Menell
AAML
40
15
0
08 Feb 2023
How Reliable is Your Regression Model's Uncertainty Under Real-World
  Distribution Shifts?
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
OOD
UQCV
44
12
0
07 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise
  prediction tasks
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri
Steffen Jung
M. Keuper
AAML
37
21
0
04 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with
  Different Training Data
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi
Nicholas Carlini
Ananth Balashankar
Ludwig Schmidt
Cho-Jui Hsieh
Alex Beutel
Yao Qin
OOD
26
9
0
02 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu
Xingzhuo Guo
Jialong Wu
Ximei Wang
Jianmin Wang
Mingsheng Long
OODD
VLM
54
73
0
02 Feb 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Rishabh Tiwari
Pradeep Shenoy
35
20
0
30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
37
10
0
30 Jan 2023
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object
  Classification
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object Classification
Ali Borji
VLM
37
0
0
29 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models
Don't Play Favorites: Minority Guidance for Diffusion Models
Soo Bin Um
Suhyeon Lee
Jong Chul Ye
DiffM
31
22
0
29 Jan 2023
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution
  Generalization of VQA Models
BinaryVQA: A Versatile Test Set to Evaluate the Out-of-Distribution Generalization of VQA Models
Ali Borji
CoGe
15
1
0
28 Jan 2023
Alignment with human representations supports robust few-shot learning
Alignment with human representations supports robust few-shot learning
Ilia Sucholutsky
Thomas Griffiths
24
25
0
27 Jan 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent
  Learning
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning
Niko A. Grupen
M. Hanlon
Alexis Hao
Daniel D. Lee
B. Selman
27
0
0
27 Jan 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
49
36
0
27 Jan 2023
Out of Distribution Performance of State of Art Vision Model
Out of Distribution Performance of State of Art Vision Model
Salman Rahman
W. Lee
45
2
0
25 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
Jianfeng Gao
Yong Jae Lee
Chunyuan Li
VLM
40
53
0
17 Jan 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
34
5
0
17 Jan 2023
Vision Based Machine Learning Algorithms for Out-of-Distribution
  Generalisation
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Hamza Riaz
Alan F. Smeaton
OOD
31
2
0
17 Jan 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
RILS: Masked Visual Reconstruction in Language Semantic Space
Shusheng Yang
Yixiao Ge
Kun Yi
Dian Li
Ying Shan
Xiaohu Qie
Xinggang Wang
CLIP
43
11
0
17 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
20
100
0
16 Jan 2023
Benchmarking Robustness in Neural Radiance Fields
Benchmarking Robustness in Neural Radiance Fields
Chen Wang
Angtian Wang
Junbo Li
Alan Yuille
Cihang Xie
55
11
0
10 Jan 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
TinyMIM: An Empirical Study of Distilling MIM Pre-trained Models
Sucheng Ren
Fangyun Wei
Zheng-Wei Zhang
Han Hu
42
35
0
03 Jan 2023
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
Benchmarking the Robustness of LiDAR Semantic Segmentation Models
Xu Yan
Chaoda Zheng
Ying Xue
Zhen Li
Shuguang Cui
Dengxin Dai
AAML
3DV
3DPC
28
19
0
03 Jan 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers
SMMix: Self-Motivated Image Mixing for Vision Transformers
Yonghong Tian
Mingbao Lin
Zhihang Lin
Yuxin Zhang
Rongrong Ji
Rongrong Ji
55
10
0
26 Dec 2022
From Xception to NEXcepTion: New Design Decisions and Neural
  Architecture Search
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search
Hadar Shavit
Filip Jatelnicki
Pol Mor-Puigventós
W. Kowalczyk
31
2
0
16 Dec 2022
Fake it till you make it: Learning transferable representations from
  synthetic ImageNet clones
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
Mert Bulent Sariyildiz
Alahari Karteek
Diane Larlus
Yannis Kalantidis
DiffM
VLM
32
153
0
16 Dec 2022
FlexiViT: One Model for All Patch Sizes
FlexiViT: One Model for All Patch Sizes
Lucas Beyer
Pavel Izmailov
Alexander Kolesnikov
Mathilde Caron
Simon Kornblith
Xiaohua Zhai
Matthias Minderer
Michael Tschannen
Ibrahim M. Alabdulmohsin
Filip Pavetić
VLM
55
90
0
15 Dec 2022
Reproducible scaling laws for contrastive language-image learning
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti
Romain Beaumont
Ross Wightman
Mitchell Wortsman
Gabriel Ilharco
Cade Gordon
Christoph Schuhmann
Ludwig Schmidt
J. Jitsev
VLM
CLIP
64
747
0
14 Dec 2022
Localized Latent Updates for Fine-Tuning Vision-Language Models
Localized Latent Updates for Fine-Tuning Vision-Language Models
Moritz Ibing
I. Lim
Leif Kobbelt
VLM
26
1
0
13 Dec 2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
41
72
0
09 Dec 2022
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive
  Learning
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning
Jishnu Mukhoti
Tsung-Yu Lin
Omid Poursaeed
Rui Wang
Ashish Shah
Philip Torr
Ser-Nam Lim
VLM
38
80
0
09 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
45
5
0
09 Dec 2022
Editing Models with Task Arithmetic
Editing Models with Task Arithmetic
Gabriel Ilharco
Marco Tulio Ribeiro
Mitchell Wortsman
Suchin Gururangan
Ludwig Schmidt
Hannaneh Hajishirzi
Ali Farhadi
KELM
MoMe
MU
74
443
0
08 Dec 2022
Adaptive Testing of Computer Vision Models
Adaptive Testing of Computer Vision Models
Irena Gao
Gabriel Ilharco
Scott M. Lundberg
Marco Tulio Ribeiro
VLM
17
42
0
06 Dec 2022
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Improving Zero-shot Generalization and Robustness of Multi-modal Models
Yunhao Ge
Jie Jessie Ren
Andrew Gallagher
Yuxiao Wang
Ming Yang
Hartwig Adam
Laurent Itti
Balaji Lakshminarayanan
Jiaping Zhao
VLM
32
35
0
04 Dec 2022
ResFormer: Scaling ViTs with Multi-Resolution Training
ResFormer: Scaling ViTs with Multi-Resolution Training
Rui Tian
Zuxuan Wu
Qiuju Dai
Hang-Rui Hu
Yu Qiao
Yu-Gang Jiang
ViT
32
33
0
01 Dec 2022
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
55
138
0
01 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric
  Perspective
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Rongxin Jiang
Bo Zheng
Yao-wu Chen
OODD
32
7
0
30 Nov 2022
Exploiting Category Names for Few-Shot Classification with
  Vision-Language Models
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Taihong Xiao
Zirui Wang
Liangliang Cao
Jiahui Yu
Shengyang Dai
Ming Yang
VLM
MLLM
36
5
0
29 Nov 2022
Finding Differences Between Transformers and ConvNets Using
  Counterfactual Simulation Testing
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing
Nataniel Ruiz
Sarah Adel Bargal
Cihang Xie
Kate Saenko
Stan Sclaroff
ViT
39
5
0
29 Nov 2022
Context-Aware Robust Fine-Tuning
Context-Aware Robust Fine-Tuning
Xiaofeng Mao
YueFeng Chen
Xiaojun Jia
Rong Zhang
Hui Xue
Zhao Li
VLM
CLIP
37
25
0
29 Nov 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Shuyang Sun
Jieneng Chen
Ruifei He
Alan Yuille
Philip Torr
Song Bai
UQCV
NoLa
21
5
0
29 Nov 2022
Interactive Visual Feature Search
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
29
0
0
28 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen
Zifan Wang
Junjie Huang
Wentao Zhao
Xiao Liu
Dejian Guan
AAML
36
20
0
28 Nov 2022
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation
Daehan Kim
Min-seok Seo
Youngjin Jeon
Dong-Geol Choi
OOD
38
1
0
26 Nov 2022
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