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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
Intriguing Properties of Diffusion Models: An Empirical Study of the
  Natural Attack Capability in Text-to-Image Generative Models
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Takami Sato
Justin Yue
Nanze Chen
Ningfei Wang
Qi Alfred Chen
DiffM
226
7
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
3D Adversarial Augmentations for Robust Out-of-Domain PredictionsInternational Journal of Computer Vision (IJCV), 2023
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
271
8
0
29 Aug 2023
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification
  with Cross-Modal Retrieval
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval
Seong-Hoon Eom
Namgyu Ho
Jaehoon Oh
Se-Young Yun
CLIPVLM
228
2
0
29 Aug 2023
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Read-only Prompt Optimization for Vision-Language Few-shot LearningIEEE International Conference on Computer Vision (ICCV), 2023
Dongjun Lee
Seokwon Song
Jihee G. Suh
Joonmyeong Choi
S. Lee
Hyunwoo J.Kim
VLM
300
74
0
29 Aug 2023
Do the Frankenstein, or how to achieve better out-of-distribution
  performance with manifold mixing model soup
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup
Hannes Fassold
MoMeUQCV
127
2
0
28 Aug 2023
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised
  Learning
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised LearningBritish Machine Vision Conference (BMVC), 2023
Mainak Singha
Ankit Jha
Biplab Banerjee
VLM
159
5
0
22 Aug 2023
Unsupervised Prototype Adapter for Vision-Language Models
Unsupervised Prototype Adapter for Vision-Language ModelsChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Yi Zhang
Ce Zhang
Xue-mei Hu
Z. He
VLM
285
8
0
22 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Expecting The Unexpected: Towards Broad Out-Of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2023
Charles Guille-Escuret
Pierre-Andre Noel
Ioannis Mitliagkas
David Vazquez
João Monteiro
OODOODD
169
2
0
22 Aug 2023
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Baoshuo Kan
Teng Wang
Sibo Wei
Xiantong Zhen
Weili Guan
Feng Zheng
VPVLMVLM
280
44
0
22 Aug 2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with
  Pretrained Models
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained ModelsInternational Conference on Learning Representations (ICLR), 2023
Peiyan Zhang
Hao Liu
Chaozhuo Li
Xing Xie
Sunghun Kim
Haohan Wang
VLMOOD
344
9
0
21 Aug 2023
DPL: Decoupled Prompt Learning for Vision-Language Models
DPL: Decoupled Prompt Learning for Vision-Language Models
C. Xu
Yuhan Zhu
Guozhen Zhang
Haocheng Shen
Yixuan Liao
Xiaoxin Chen
Gangshan Wu
Limin Wang
VLM
119
5
0
19 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using
  Pre-trained Diffusion Models
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Ruiyuan Gao
Chenchen Zhao
Lanqing Hong
Q. Xu
261
25
0
15 Aug 2023
Gradient-Based Post-Training Quantization: Challenging the Status Quo
Gradient-Based Post-Training Quantization: Challenging the Status Quo
Edouard Yvinec
Arnaud Dapogny
Kévin Bailly
MQ
228
1
0
15 Aug 2023
Distance Matters For Improving Performance Estimation Under Covariate
  Shift
Distance Matters For Improving Performance Estimation Under Covariate Shift
Mélanie Roschewitz
Ben Glocker
251
1
0
14 Aug 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in
  Entropy Minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationIEEE International Conference on Computer Vision (ICCV), 2023
Jungsoo Lee
Debasmit Das
Jaegul Choo
Sungha Choi
TTAVLM
238
43
0
14 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt
  Tuning
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt TuningIEEE International Conference on Computer Vision (ICCV), 2023
Chun-Mei Feng
Kai Yu
Yong Liu
Salman Khan
W. Zuo
VLM
279
150
0
11 Aug 2023
Robustifying Point Cloud Networks by Refocusing
Robustifying Point Cloud Networks by RefocusingInternational Conference on 3D Vision (3DV), 2023
Meir Yossef Levi
Guy Gilboa
3DPC
391
5
0
10 Aug 2023
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent
  Spurious Correlations in Image Recognition
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image RecognitionEuropean Conference on Computer Vision (ECCV), 2023
Maan Qraitem
Kate Saenko
Bryan A. Plummer
363
7
0
08 Aug 2023
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning
  Methods Integrated in Instrumentation & Control Systems
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems
Edward Chen
H. Bao
N. Dinh
41
1
0
08 Aug 2023
Distributionally Robust Classification on a Data Budget
Distributionally Robust Classification on a Data Budget
Ben Feuer
Ameya Joshi
Minh Pham
Chinmay Hegde
OOD
250
2
0
07 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise
Feature Noise Boosts DNN Generalization under Label NoiseIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Lu Zeng
Xuan Chen
Xiaoshuang Shi
Mengqi Li
MLTNoLa
175
6
0
03 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
Edward Choi
361
2
0
03 Aug 2023
PerceptionCLIP: Visual Classification by Inferring and Conditioning on
  Contexts
PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsInternational Conference on Learning Representations (ICLR), 2023
Bang An
Sicheng Zhu
Michael-Andrei Panaitescu-Liess
Chaithanya Kumar Mummadi
Furong Huang
VLM
214
14
0
02 Aug 2023
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
Improving Pixel-based MIM by Reducing Wasted Modeling CapabilityIEEE International Conference on Computer Vision (ICCV), 2023
Yuan Liu
Songyang Zhang
Jiacheng Chen
Zhaohui Yu
Kai-xiang Chen
Dahua Lin
215
41
0
01 Aug 2023
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into
  Machine Learning Pipelines
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning PipelinesConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Matthew Barker
Emma Kallina
D. Ashok
Katherine M. Collins
Ashley Casovan
Adrian Weller
Ameet Talwalkar
Valerie Chen
Umang Bhatt
188
11
0
28 Jul 2023
Cross-Modal Concept Learning and Inference for Vision-Language Models
Cross-Modal Concept Learning and Inference for Vision-Language ModelsNeurocomputing (Neurocomputing), 2023
Yi Zhang
Ce Zhang
Yushun Tang
Z. He
VLMMLLMCLIP
196
20
0
28 Jul 2023
Does Progress On Object Recognition Benchmarks Improve Real-World
  Generalization?
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
Megan Richards
Polina Kirichenko
Diane Bouchacourt
Mark Ibrahim
VLM
267
14
0
24 Jul 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution
  Shifts
COCO-O: A Benchmark for Object Detectors under Natural Distribution ShiftsIEEE International Conference on Computer Vision (ICCV), 2023
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjDOOD
240
31
0
24 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial
  Training
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
178
8
0
21 Jul 2023
Tuning Pre-trained Model via Moment Probing
Tuning Pre-trained Model via Moment ProbingIEEE International Conference on Computer Vision (ICCV), 2023
Mingze Gao
Qilong Wang
Zhenyi Lin
Q. Hu
Qinghua Hu
Jingbo Zhou
292
14
0
21 Jul 2023
RepViT: Revisiting Mobile CNN From ViT Perspective
RepViT: Revisiting Mobile CNN From ViT PerspectiveComputer Vision and Pattern Recognition (CVPR), 2023
Ao Wang
Hui Chen
Zijia Lin
Hengjun Pu
Guiguang Ding
462
444
0
18 Jul 2023
Towards Trustworthy Dataset Distillation
Towards Trustworthy Dataset DistillationPattern Recognition (Pattern Recogn.), 2023
Shijie Ma
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
DD
244
19
0
18 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models
Image Captions are Natural Prompts for Text-to-Image ModelsInternational Journal of Computer Vision (IJCV), 2023
Shiye Lei
Hao Chen
Senyang Zhang
Bo Zhao
Dacheng Tao
VLM
413
23
0
17 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
636
3
0
17 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
Towards Viewpoint-Invariant Visual Recognition via Adversarial TrainingIEEE International Conference on Computer Vision (ICCV), 2023
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
OOD
220
19
0
16 Jul 2023
Self-regulating Prompts: Foundational Model Adaptation without
  Forgetting
Self-regulating Prompts: Foundational Model Adaptation without ForgettingIEEE International Conference on Computer Vision (ICCV), 2023
Muhammad Uzair Khattak
Syed Talal Wasim
Muzammal Naseer
Salman Khan
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
388
309
0
13 Jul 2023
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and
  Resolution
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and ResolutionNeural Information Processing Systems (NeurIPS), 2023
Mostafa Dehghani
Basil Mustafa
Josip Djolonga
Jonathan Heek
Matthias Minderer
...
Avital Oliver
Piotr Padlewski
A. Gritsenko
Mario Luvcić
N. Houlsby
ViT
385
186
0
12 Jul 2023
Text Descriptions are Compressive and Invariant Representations for
  Visual Learning
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
214
7
0
10 Jul 2023
Quantification of Uncertainty with Adversarial Models
Quantification of Uncertainty with Adversarial ModelsNeural Information Processing Systems (NeurIPS), 2023
Kajetan Schweighofer
L. Aichberger
Mykyta Ielanskyi
Günter Klambauer
Sepp Hochreiter
UQCV
290
29
0
06 Jul 2023
T-MARS: Improving Visual Representations by Circumventing Text Feature
  Learning
T-MARS: Improving Visual Representations by Circumventing Text Feature LearningInternational Conference on Learning Representations (ICLR), 2023
Pratyush Maini
Sachin Goyal
Zachary Chase Lipton
J. Zico Kolter
Aditi Raghunathan
VLM
171
41
0
06 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual LearningNeural Information Processing Systems (NeurIPS), 2023
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLMCLL
452
163
0
05 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision
  Architectures Under Distribution Shift and Long-tailed Data
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
Kevin Kasa
Graham W. Taylor
314
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0
03 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System
  Inconsistency
SysNoise: Exploring and Benchmarking Training-Deployment System InconsistencyConference on Machine Learning and Systems (MLSys), 2023
Yan Wang
Yuhang Li
Yazhe Niu
Aishan Liu
Yanfei Wang
...
Yongqiang Yao
Yunchen Zhang
Tianzi Xiao
F. Yu
Xianglong Liu
AAML
265
0
0
01 Jul 2023
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs
F. Sarfraz
Elahe Arani
Bahram Zonooz
108
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CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy
  within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy
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Xianhang Li
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Cihang Xie
CLIPVLM
283
25
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Anticipatory Thinking Challenges in Open Worlds: Risk Management
Anticipatory Thinking Challenges in Open Worlds: Risk Management
Adam Amos-Binks
Dustin Dannenhauer
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141
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A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
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Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
372
14
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Neural Priming for Sample-Efficient Adaptation
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Matthew Wallingford
Vivek Ramanujan
Alex Fang
Aditya Kusupati
Roozbeh Mottaghi
Aniruddha Kembhavi
Ludwig Schmidt
Ali Farhadi
VLM
486
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One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
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Arnav Chavan
Zhuang Liu
D. K. Gupta
Eric P. Xing
Zhiqiang Shen
319
110
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Area is all you need: repeatable elements make stronger adversarial
  attacks
Area is all you need: repeatable elements make stronger adversarial attacks
D. Niederhut
AAML
187
0
0
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