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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
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
569
8
0
14 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?International Conference on Learning Representations (ICLR), 2024
Zhuang Liu
Kaiming He
321
52
0
13 Mar 2024
Fast and Simple Explainability for Point Cloud Networks
Fast and Simple Explainability for Point Cloud Networks
Meir Yossef Levi
Guy Gilboa
3DPC
243
7
0
12 Mar 2024
Unified Source-Free Domain Adaptation
Unified Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
434
7
0
12 Mar 2024
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
Yuncheng Yang
Chuyan Zhang
Zuopeng Yang
Yuting Gao
Yulei Qin
Ke Li
Xing Sun
Jie Yang
Yun Gu
VLMVPVLM
325
0
0
10 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen
  Vision-language Model
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
Junhui Yin
Xinyu Zhang
Lin Wu
Xianghua Xie
Xiaojie Wang
VPVLMVLMMLLM
137
3
0
10 Mar 2024
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Speech Robust Bench: A Robustness Benchmark For Speech RecognitionInternational Conference on Learning Representations (ICLR), 2024
Muhammad A. Shah
David Solans Noguero
Mikko A. Heikkilä
Nicolas Kourtellis
239
12
0
08 Mar 2024
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Stephen Casper
Lennart Schulze
Oam Patel
Dylan Hadfield-Menell
AAML
723
59
0
08 Mar 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on
  Object-to-Background Compositional Changes
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional ChangesAsian Conference on Computer Vision (ACCV), 2024
H. Malik
Muhammad Huzaifa
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
DiffM
366
3
0
07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix
H. Bondell
Howard Bondell
VLMViT
498
0
0
07 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and
  Dynamic Activation Function Design
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji
Yao Zhu
Zhigang Li
Jiansheng Chen
Yun-long Kong
Jingbo Chen
OODD
249
1
0
06 Mar 2024
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
Zheng Li
Xiang Li
Xinyi Fu
Xing Zhang
Weiqiang Wang
Shuo Chen
Jian Yang
VLM
362
84
0
05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Tianyu Wang
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
318
21
0
04 Mar 2024
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Structurally Prune Anything: Any Architecture, Any Framework, Any Time
Xun Wang
John Rachwan
Stephan Günnemann
Bertrand Charpentier
192
8
0
03 Mar 2024
Multi-modal Attribute Prompting for Vision-Language Models
Multi-modal Attribute Prompting for Vision-Language Models
Xin Liu
Jiamin Wu
and Wenfei Yang
Xu Zhou
Tianzhu Zhang
VLM
409
25
0
01 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
390
9
0
01 Mar 2024
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid
  Progress
Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
Christian Schroeder de Witt
Vishaal Udandarao
Juil Sock
Matthias Bethge
Adel Bibi
Samuel Albanie
242
3
0
29 Feb 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks
  Relative to Human Performance
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Huakun Shen
Boyue Caroline Hu
Krzysztof Czarnecki
Lina Marsso
Marsha Chechik
346
1
0
29 Feb 2024
Vision Transformers with Natural Language Semantics
Vision Transformers with Natural Language Semantics
Young-Kyung Kim
Matías Di Martino
Guillermo Sapiro
ViT
153
7
0
27 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of
  Federated Models
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Jinqian Chen
Jihua Zhu
Qinghai Zheng
Zhongyu Li
Zhiqiang Tian
FedML
232
3
0
26 Feb 2024
PIDformer: Transformer Meets Control Theory
PIDformer: Transformer Meets Control Theory
Tam Nguyen
César A. Uribe
Tan-Minh Nguyen
Richard G. Baraniuk
289
11
0
25 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion
  Models against Stochastic Perturbation
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
Yi Zhang
Yun Tang
Wenjie Ruan
Xiaowei Huang
Siddartha Khastgir
P. Jennings
Xingyu Zhao
AAML
310
11
0
23 Feb 2024
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic
  Compositional Reasoning via Counterfactual Examples
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples
Jianrui Zhang
Mu Cai
Tengyang Xie
Yong Jae Lee
LRM
390
33
0
20 Feb 2024
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning
Wenqian Ye
Luyang Jiang
Xu Cao
Guangtao Zheng
Yunsheng Ma
...
Huang
Ziran Wang
James M. Rehg
Henry Kautz
Andrew Gordon Wilson
OODAAMLCML
539
58
0
20 Feb 2024
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
OODVPVLMVLM
343
20
0
15 Feb 2024
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious
  Feature Generation
Fine-Tuning Text-To-Image Diffusion Models for Class-Wise Spurious Feature Generation
AprilPyone Maungmaung
H. Nguyen
Hitoshi Kiya
Isao Echizen
193
8
0
13 Feb 2024
A Closer Look at the Robustness of Contrastive Language-Image
  Pre-Training (CLIP)
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)Neural Information Processing Systems (NeurIPS), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
UQCVVLM
211
52
0
12 Feb 2024
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu
Zhen Zhang
Dong Gong
Erdun Gao
Biwei Huang
Anton Van Den Hengel
Kun Zhang
Javen Qinfeng Shi
Javen Qinfeng Shi
285
7
0
09 Feb 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion
  Models!
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
Shashank Kotyan
Poyuan Mao
Pin-Yu Chen
Danilo Vasconcellos Vargas
AAMLDiffM
360
0
0
07 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
414
4
0
07 Feb 2024
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Quan-Sen Sun
Jinsheng Wang
Qiying Yu
Yufeng Cui
Fan Zhang
Xiaosong Zhang
Xinlong Wang
VLMCLIPMLLM
317
80
0
06 Feb 2024
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang
Jian Liang
Lijun Sheng
Xiao-Yu Zhang
Zilei Wang
Tieniu Tan
VLM
252
40
0
06 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental LearningInternational Conference on Learning Representations (ICLR), 2024
Wei-Cheng Huang
Chun-Fu Chen
Hsiang Hsu
VLM
343
18
0
06 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
398
1
0
06 Feb 2024
Image-Caption Encoding for Improving Zero-Shot Generalization
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yang Yu
Christopher Liao
Sathvik Ravi
Theodoros Tsiligkaridis
Brian Kulis
OODDVLM
150
4
0
05 Feb 2024
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection
  Method for Multimodal Contrastive Learning
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning
Yiping Wang
Yifang Chen
Wendan Yan
Kevin Jamieson
S. Du
263
7
0
03 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution
  Detection
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
OODD
118
10
0
01 Feb 2024
Continual Learning with Pre-Trained Models: A Survey
Continual Learning with Pre-Trained Models: A Survey
Da-Wei Zhou
Hai-Long Sun
Jingyi Ning
Han-Jia Ye
De-Chuan Zhan
CLLKELM
326
133
0
29 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits
Black-Box Access is Insufficient for Rigorous AI AuditsConference on Fairness, Accountability and Transparency (FAccT), 2024
Stephen Casper
Carson Ezell
Charlotte Siegmann
Noam Kolt
Taylor Lynn Curtis
...
Michael Gerovitch
David Bau
Max Tegmark
David M. Krueger
Dylan Hadfield-Menell
AAML
560
133
0
25 Jan 2024
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNNAAAI Conference on Artificial Intelligence (AAAI), 2024
Minsoo Kang
Minkoo Kang
Suhyun Kim
129
7
0
24 Jan 2024
The Neglected Tails in Vision-Language Models
The Neglected Tails in Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Shubham Parashar
Zhiqiu Lin
Tian Liu
Xiangjue Dong
Yanan Li
Deva Ramanan
James Caverlee
Shu Kong
VLM
486
60
0
23 Jan 2024
Benchmarking Large Multimodal Models against Common Corruptions
Benchmarking Large Multimodal Models against Common Corruptions
Jiawei Zhang
Tianyu Pang
Chao Du
Yi Ren
Yue Liu
Min Lin
MLLM
205
17
0
22 Jan 2024
Supervised Fine-tuning in turn Improves Visual Foundation Models
Supervised Fine-tuning in turn Improves Visual Foundation Models
Xiaohu Jiang
Yixiao Ge
Yuying Ge
Dachuan Shi
Chun Yuan
Ying Shan
VLMCLIP
256
14
0
18 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
323
1
0
18 Jan 2024
ContextMix: A context-aware data augmentation method for industrial
  visual inspection systems
ContextMix: A context-aware data augmentation method for industrial visual inspection systems
Hyungmin Kim
Donghun Kim
Pyunghwan Ahn
Sungho Suh
Hansang Cho
Junmo Kim
229
6
0
18 Jan 2024
Improving fine-grained understanding in image-text pre-training
Improving fine-grained understanding in image-text pre-training
Ioana Bica
Anastasija Ilić
Matthias Bauer
Goker Erdogan
Matko Bovsnjak
...
A. Gritsenko
Matthias Minderer
Charles Blundell
Razvan Pascanu
Jovana Mitrović
VLM
220
45
0
18 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance
  segmentation
Trapped in texture bias? A large scale comparison of deep instance segmentationEuropean Conference on Computer Vision (ECCV), 2024
J. Theodoridis
Jessica Hofmann
J. Maucher
A. Schilling
SSeg
209
6
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17 Jan 2024
Reliability and Interpretability in Science and Deep Learning
Reliability and Interpretability in Science and Deep Learning
Luigi Scorzato
261
16
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NODI: Out-Of-Distribution Detection with Noise from Diffusion
NODI: Out-Of-Distribution Detection with Noise from Diffusion
Jingqiu Zhou
Aojun Zhou
Jiaming Song
DiffM
215
3
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13 Jan 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World UnderstandingEuropean Conference on Computer Vision (ECCV), 2024
Bowen Shi
Peisen Zhao
Zichen Wang
Yuhang Zhang
Yaoming Wang
...
Wenrui Dai
Junni Zou
Hongkai Xiong
Qi Tian
Xiaopeng Zhang
VLM
193
13
0
12 Jan 2024
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