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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
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial SamplesNeural Information Processing Systems (NeurIPS), 2024
Baiqi Li
Zhiqiu Lin
Wenxuan Peng
Jean de Dieu Nyandwi
Daniel Jiang
Zixian Ma
Simran Khanuja
Ranjay Krishna
Graham Neubig
Deva Ramanan
AAMLCoGeVLM
643
61
0
18 Oct 2024
On Partial Prototype Collapse in the DINO Family of Self-Supervised
  Methods
On Partial Prototype Collapse in the DINO Family of Self-Supervised MethodsBritish Machine Vision Conference (BMVC), 2024
Hariprasath Govindarajan
Per Sidén
Jacob Roll
Fredrik Lindsten
191
4
0
17 Oct 2024
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples
  Generation with Momentum
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Nashrah Haque
Xiang Li
Zhehui Chen
Yanzhao Wu
Lei Yu
Arun Iyengar
Wenqi Wei
DiffMAAML
154
0
0
17 Oct 2024
Dual Prototype Evolving for Test-Time Generalization of Vision-Language
  Models
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Ce Zhang
Simon Stepputtis
Katia Sycara
Yaqi Xie
VLM
261
23
0
16 Oct 2024
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Zixin Wang
Dong Gong
Sen Wang
Zi Huang
Yadan Luo
VLM
388
0
0
16 Oct 2024
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient
  Multimodal Learning
CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning
Qingqing Cao
Mahyar Najibi
Sachin Mehta
CLIPDiffM
260
1
0
15 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection
A CLIP-Powered Framework for Robust and Generalizable Data SelectionInternational Conference on Learning Representations (ICLR), 2024
Steve Yang
Peng Ye
Wanli Ouyang
Dongzhan Zhou
Jian Zhao
405
13
0
15 Oct 2024
LOBG:Less Overfitting for Better Generalization in Vision-Language Model
LOBG:Less Overfitting for Better Generalization in Vision-Language Model
Chenhao Ding
Xinyuan Gao
Songlin Dong
Yuhang He
Qiang Wang
Alex C. Kot
Yihong Gong
VLM
239
1
0
14 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLMOODD
332
12
0
11 Oct 2024
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with
  Heterogeneous Graph Adapter
HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter
Yumiao Zhao
Bo Jiang
Xiao Wang
Qin Xu
Jin Tang
VLM
256
4
0
10 Oct 2024
FLIER: Few-shot Language Image Models Embedded with Latent
  Representations
FLIER: Few-shot Language Image Models Embedded with Latent Representations
Zhinuo Zhou
Peng Zhou
Xiaoyong Pan
VLM
155
1
0
10 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza
Mengjie Zhao
Zhuoyuan Mao
Sivan Doveh
Wei Lin
...
Yuki Mitsufuji
Horst Possegger
Rogerio Feris
Leonid Karlinsky
James Glass
VLM
667
3
0
08 Oct 2024
Precise Model Benchmarking with Only a Few Observations
Precise Model Benchmarking with Only a Few ObservationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Riccardo Fogliato
Pratik Patil
Nil-Jana Akpinar
Mathew Monfort
208
1
0
07 Oct 2024
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image
  Classification
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image ClassificationNeural Information Processing Systems (NeurIPS), 2024
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
192
4
0
07 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust AdaptationInternational Conference on Learning Representations (ICLR), 2024
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OODMoMe
464
15
0
03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
Shuoyuan Wang
Shouqing Yang
Jianguo Huang
VLM
539
4
0
03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
915
0
0
03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
349
7
0
02 Oct 2024
Rethinking Misalignment in Vision-Language Model Adaptation from a
  Causal Perspective
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Yanan Zhang
Jiangmeng Li
Lixiang Liu
Jingyao Wang
VLM
335
10
0
01 Oct 2024
Optimising EEG decoding with refined sampling and multimodal feature
  integration
Optimising EEG decoding with refined sampling and multimodal feature integration
Arash Akbarinia
151
4
0
30 Sep 2024
Leveraging Pre-trained Models for Robust Federated Learning for Kidney
  Stone Type Recognition
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type RecognitionMexican International Conference on Artificial Intelligence (MICAI), 2024
Iván Reyes-Amezcua
Michael Rojas-Ruiz
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
Christian Daul
137
1
0
30 Sep 2024
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
Zongbo Han
Jialong Yang
Guangyu Wang
Junfan Li
Qianli Xu
Mike Zheng Shou
Changqing Zhang
TTAVLM
423
10
0
28 Sep 2024
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
Jihai Zhang
Xiaoye Qu
Tong Zhu
Yu Cheng
607
16
0
28 Sep 2024
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty
  Learning
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning
Song Wang
Zhongdao Wang
Jiawei Yu
Wentong Li
Bailan Feng
Junbo Chen
Jianke Zhu
UQCV
257
5
0
26 Sep 2024
HydraViT: Stacking Heads for a Scalable ViT
HydraViT: Stacking Heads for a Scalable ViTNeural Information Processing Systems (NeurIPS), 2024
Janek Haberer
A. Hojjat
Olaf Landsiedel
215
6
0
26 Sep 2024
Cascade Prompt Learning for Vision-Language Model Adaptation
Cascade Prompt Learning for Vision-Language Model AdaptationEuropean Conference on Computer Vision (ECCV), 2024
Ge Wu
Xin Zhang
Zheng Li
Zhaowei Chen
Jiajun Liang
Jian Yang
Xiang Li
VLM
309
24
0
26 Sep 2024
P4Q: Learning to Prompt for Quantization in Visual-language Models
P4Q: Learning to Prompt for Quantization in Visual-language Models
H. Sun
Runqi Wang
Yanjing Li
Xianbin Cao
Xiaolong Jiang
Feng-Long Xie
Baochang Zhang
MQVLM
246
5
0
26 Sep 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationNeural Information Processing Systems (NeurIPS), 2024
Yao Ni
Shan Zhang
Piotr Koniusz
1.1K
14
0
25 Sep 2024
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End
  Improves CNN Robustness
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness
Lucas Piper
Arlindo L. Oliveira
Tiago Marques
236
1
0
25 Sep 2024
Scalable Ensemble Diversification for OOD Generalization and Detection
Scalable Ensemble Diversification for OOD Generalization and Detection
Alexander Rubinstein
Luca Scimeca
Damien Teney
Seong Joon Oh
BDLOOD
1.0K
2
0
25 Sep 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2024
Zheda Mai
Ping Zhang
Cheng-Hao Tu
Hong-You Chen
Li Zhang
Wei-Lun Chao
304
0
0
24 Sep 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2024
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
310
4
0
23 Sep 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision
  Transformer
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
222
1
0
21 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong
Pan Zhou
W. Zuo
VLM
232
0
0
17 Sep 2024
Finetuning CLIP to Reason about Pairwise Differences
Finetuning CLIP to Reason about Pairwise Differences
Dylan Sam
Devin Willmott
João Dias Semedo
J. Zico Kolter
VLM
361
8
0
15 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
555
1
0
14 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman
Rhea Chowers
207
0
0
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Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
Yahya Jabary
Andreas Plesner
Turlan Kuzhagaliyev
Roger Wattenhofer
AAML
195
2
0
09 Sep 2024
Optimizing CLIP Models for Image Retrieval with Maintained
  Joint-Embedding Alignment
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding AlignmentSimilarity Search and Applications (SISAP), 2024
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
VLM
292
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0
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SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution
  Image Classification and Semantic Segmentation
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
Alberto Bacchin
Davide Allegro
Stefano Ghidoni
Emanuele Menegatti
218
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A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
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A. Sohail
Mustansar Fiaz
Mehdi Hassan
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Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
946
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Hierarchical Visual Categories Modeling: A Joint Representation Learning
  and Density Estimation Framework for Out-of-Distribution Detection
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
228
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0
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NeuralOOD: Improving Out-of-Distribution Generalization Performance with
  Brain-machine Fusion Learning Framework
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework
Shuangchen Zhao
Changde Du
Hui Li
Huiguang He
157
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HPT++: Hierarchically Prompting Vision-Language Models with
  Multi-Granularity Knowledge Generation and Improved Structure Modeling
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
Yubin Wang
Xinyang Jiang
De Cheng
Wenli Sun
Dongsheng Li
Cairong Zhao
VLM
228
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GenFormer -- Generated Images are All You Need to Improve Robustness of
  Transformers on Small Datasets
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Sven Oehri
Nikolas Ebert
Ahmed Abdullah
Didier Stricker
Oliver Wasenmüller
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Dual-Path Adversarial Lifting for Domain Shift Correction in Online
  Test-time Adaptation
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Yushun Tang
Shuoshuo Chen
Zhihe Lu
Xinchao Wang
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393
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Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Shuai Fu
Xiequn Wang
Qiushi Huang
Yu Zhang
VLM
196
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Online Zero-Shot Classification with CLIP
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Qi Qian
Juhua Hu
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Approaching Deep Learning through the Spectral Dynamics of Weights
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David Yunis
Kumar Kshitij Patel
Samuel Wheeler
Pedro H. P. Savarese
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327
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Statistical Challenges with Dataset Construction: Why You Will Never
  Have Enough Images
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171
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