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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
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao
Caroline Choi
Bochuan Cao
Yoonho Lee
Pang Wei Koh
Chelsea Finn
OOD
27
75
0
25 Nov 2022
BiasBed -- Rigorous Texture Bias Evaluation
BiasBed -- Rigorous Texture Bias Evaluation
Nikolai Kalischek
Rodrigo Caye Daudt
T. Peters
Reinhard Furrer
Jan Dirk Wegner
Konrad Schindler
21
2
0
23 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
N. Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
33
10
0
21 Nov 2022
Neural Dependencies Emerging from Learning Massive Categories
Neural Dependencies Emerging from Learning Massive Categories
Ruili Feng
Kecheng Zheng
Kai Zhu
Yujun Shen
Jian Zhao
Yukun Huang
Deli Zhao
Jingren Zhou
Michael I. Jordan
Zhengjun Zha
UQCV
24
0
0
21 Nov 2022
Task Residual for Tuning Vision-Language Models
Task Residual for Tuning Vision-Language Models
Tao Yu
Zhihe Lu
Xin Jin
Zhibo Chen
Xinchao Wang
VLM
CLIP
24
84
0
18 Nov 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks
Stephen Casper
K. Hariharan
Dylan Hadfield-Menell
AAML
26
11
0
18 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
27
4
0
17 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge Belongie
Sagie Benaim
AAML
23
1
0
17 Nov 2022
Will Large-scale Generative Models Corrupt Future Datasets?
Will Large-scale Generative Models Corrupt Future Datasets?
Ryuichiro Hataya
Han Bao
Hiromi Arai
27
54
0
15 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
92
681
0
14 Nov 2022
Robustifying Deep Vision Models Through Shape Sensitization
Robustifying Deep Vision Models Through Shape Sensitization
Aditay Tripathi
Rishu Singh
Anirban Chakraborty
Pradeep Shenoy
AAML
MDE
29
0
0
14 Nov 2022
AltCLIP: Altering the Language Encoder in CLIP for Extended Language
  Capabilities
AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
Zhongzhi Chen
Guangyi Liu
Bo Zhang
Fulong Ye
Qinghong Yang
Ledell Yu Wu
VLM
37
81
0
12 Nov 2022
Far Away in the Deep Space: Dense Nearest-Neighbor-Based
  Out-of-Distribution Detection
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Silvio Galesso
Max Argus
Thomas Brox
UQCV
33
11
0
12 Nov 2022
Unbiased Supervised Contrastive Learning
Unbiased Supervised Contrastive Learning
C. Barbano
Benoit Dufumier
Enzo Tartaglione
Marco Grangetto
Pietro Gori
FaML
SSL
25
27
0
10 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan
Huan Zhang
Ti-Rong Wu
Meng-Yu Tsai
I-Chen Wu
Cho-Jui Hsieh
AAML
32
10
0
07 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
44
1
0
05 Nov 2022
Understanding and Mitigating Overfitting in Prompt Tuning for
  Vision-Language Models
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models
Cheng Ma
Yang Liu
Jiankang Deng
Lingxi Xie
Weiming Dong
Changsheng Xu
VLM
VPVLM
43
44
0
04 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for
  Improving Adversarial Training
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Junhao Dong
Seyed-Mohsen Moosavi-Dezfooli
Jianhuang Lai
Xiaohua Xie
AAML
50
28
0
01 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for
  Continuous Sign Language Recognition
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
Youngjoon Jang
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
Joon Son Chung
In So Kweon
SLR
29
12
0
01 Nov 2022
A simple, efficient and scalable contrastive masked autoencoder for
  learning visual representations
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations
Shlok Kumar Mishra
Joshua Robinson
Huiwen Chang
David Jacobs
Aaron Sarna
Aaron Maschinot
Dilip Krishnan
DiffM
56
30
0
30 Oct 2022
Private and Reliable Neural Network Inference
Private and Reliable Neural Network Inference
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
22
14
0
27 Oct 2022
Adversarially Robust Medical Classification via Attentive Convolutional
  Neural Networks
Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks
I. Wasserman
OOD
MedIm
AAML
29
0
0
26 Oct 2022
The Robustness Limits of SoTA Vision Models to Natural Variation
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim
Q. Garrido
Ari S. Morcos
Diane Bouchacourt
VLM
43
16
0
24 Oct 2022
MetaFormer Baselines for Vision
MetaFormer Baselines for Vision
Weihao Yu
Chenyang Si
Pan Zhou
Mi Luo
Yichen Zhou
Jiashi Feng
Shuicheng Yan
Xinchao Wang
MoE
40
158
0
24 Oct 2022
Context-driven Visual Object Recognition based on Knowledge Graphs
Context-driven Visual Object Recognition based on Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
20
0
0
20 Oct 2022
Window-Based Distribution Shift Detection for Deep Neural Networks
Window-Based Distribution Shift Detection for Deep Neural Networks
Guy Bar-Shalom
Yonatan Geifman
Ran El-Yaniv
28
4
0
19 Oct 2022
lo-fi: distributed fine-tuning without communication
lo-fi: distributed fine-tuning without communication
Mitchell Wortsman
Suchin Gururangan
Shen Li
Ali Farhadi
Ludwig Schmidt
Michael G. Rabbat
Ari S. Morcos
34
24
0
19 Oct 2022
A Unified View of Masked Image Modeling
A Unified View of Masked Image Modeling
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
VLM
58
35
0
19 Oct 2022
Using Language to Extend to Unseen Domains
Using Language to Extend to Unseen Domains
Lisa Dunlap
Clara Mohri
Devin Guillory
Han Zhang
Trevor Darrell
Joseph E. Gonzalez
Aditi Raghunanthan
Anja Rohrbach
VLM
27
35
0
18 Oct 2022
Measures of Information Reflect Memorization Patterns
Measures of Information Reflect Memorization Patterns
Rachit Bansal
Danish Pruthi
Yonatan Belinkov
38
9
0
17 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLM
CLIP
25
26
0
17 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
Sung-Ho Bae
Zhenguo Li
OODD
VLM
39
14
0
17 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
46
32
0
17 Oct 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model
  Tuning
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian
Daquan Zhou
Jiashi Feng
Xinchao Wang
36
250
0
17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
36
1
0
16 Oct 2022
Scratching Visual Transformer's Back with Uniform Attention
Scratching Visual Transformer's Back with Uniform Attention
Nam Hyeon-Woo
Kim Yu-Ji
Byeongho Heo
Doonyoon Han
Seong Joon Oh
Tae-Hyun Oh
366
23
0
16 Oct 2022
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLM
MLLM
CLIP
90
3,286
0
16 Oct 2022
Hardness of Samples Need to be Quantified for a Reliable Evaluation
  System: Exploring Potential Opportunities with a New Task
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
24
1
0
14 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Evaluating Out-of-Distribution Performance on Document Image Classifiers
Stefan Larson
Gordon Lim
Yutong Ai
David Kuang
Kevin Leach
OODD
OOD
37
18
0
14 Oct 2022
Caption supervision enables robust learners
Caption supervision enables robust learners
Ben Feuer
Ameya Joshi
C. Hegde
SSL
CLIP
VLM
39
2
0
13 Oct 2022
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang
Pengyun Wang
Dejian Zou
Zitang Zhou
Kun Ding
...
Kaiyang Zhou
Wayne Zhang
Dan Hendrycks
Yixuan Li
Ziwei Liu
OODD
28
228
0
13 Oct 2022
Unified Vision and Language Prompt Learning
Unified Vision and Language Prompt Learning
Yuhang Zang
Wei Li
Kaiyang Zhou
Chen Huang
Chen Change Loy
VLM
VPVLM
14
149
0
13 Oct 2022
Token-Label Alignment for Vision Transformers
Token-Label Alignment for Vision Transformers
Han Xiao
Wenzhao Zheng
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
23
4
0
12 Oct 2022
Foundation Transformers
Foundation Transformers
Hongyu Wang
Shuming Ma
Shaohan Huang
Li Dong
Wenhui Wang
...
Barun Patra
Zhun Liu
Vishrav Chaudhary
Xia Song
Furu Wei
AI4CE
35
27
0
12 Oct 2022
Designing Robust Transformers using Robust Kernel Density Estimation
Designing Robust Transformers using Robust Kernel Density Estimation
Xing Han
Tongzheng Ren
T. Nguyen
Khai Nguyen
Joydeep Ghosh
Nhat Ho
32
6
0
11 Oct 2022
Revisiting adapters with adversarial training
Revisiting adapters with adversarial training
Sylvestre-Alvise Rebuffi
Francesco Croce
Sven Gowal
AAML
36
16
0
10 Oct 2022
Are All Vision Models Created Equal? A Study of the Open-Loop to
  Closed-Loop Causality Gap
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap
Mathias Lechner
Ramin Hasani
Alexander Amini
Tsun-Hsuan Wang
T. Henzinger
Daniela Rus
CML
OOD
29
7
0
09 Oct 2022
Learning to Decompose Visual Features with Latent Textual Prompts
Learning to Decompose Visual Features with Latent Textual Prompts
Feng Wang
Manling Li
Xudong Lin
Hairong Lv
Alex Schwing
Heng Ji
VLM
21
23
0
09 Oct 2022
Boosting Out-of-distribution Detection with Typical Features
Boosting Out-of-distribution Detection with Typical Features
Yao Zhu
YueFeng Chen
Chuanlong Xie
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Bolun Zheng
Yao-wu Chen
OODD
86
50
0
09 Oct 2022
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal
  Representations
APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations
Elan Rosenfeld
Preetum Nakkiran
Hadi Pouransari
Oncel Tuzel
Fartash Faghri
68
6
0
08 Oct 2022
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