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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
PowerCLIP: Powerset Alignment for Contrastive Pre-Training
PowerCLIP: Powerset Alignment for Contrastive Pre-Training
Masaki Kawamura
Nakamasa Inoue
Rintaro Yanagi
Hirokatsu Kataoka
Rio Yokota
CLIPVLM
194
0
0
28 Nov 2025
From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts
From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts
Weiran Li
Yeqiang Liu
Yijie Wei
Mina Han
Xin Liu
Zhenbo Li
DiffMVLM
100
0
0
28 Nov 2025
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
Silin Cheng
Kai Han
MLLMVPVLMVLM
256
1
0
27 Nov 2025
AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
Zheng Li
Yibing Song
Xin Zhang
L. Luo
Xiang Li
J. Yang
165
0
0
26 Nov 2025
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning
Shawn Young
Xingyu Zeng
Lijian Xu
VLM
85
0
0
24 Nov 2025
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
RNN as Linear Transformer: A Closer Investigation into Representational Potentials of Visual Mamba Models
Timing Yang
Guoyizhe Wei
Alan Yuille
Feng Wang
Mamba
142
0
0
23 Nov 2025
Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models
Heejoon Koo
121
0
0
23 Nov 2025
ReBaPL: Repulsive Bayesian Prompt Learning
ReBaPL: Repulsive Bayesian Prompt Learning
Yassir Bendou
Omar Ezzahir
Eduardo Fernandes Montesuma
Gabriel Mahuas
Victoria Shevchenko
Mike Gartrell
OffRL
251
0
0
21 Nov 2025
Reasoning Guided Embeddings: Leveraging MLLM Reasoning for Improved Multimodal Retrieval
Chunxu Liu
Jiyuan Yang
Ruopeng Gao
Yuhan Zhu
Feng Zhu
Rui Zhao
L. Wang
141
0
0
20 Nov 2025
SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge
Adeel Yousaf
Joseph Fioresi
James Beetham
Amrit Singh Bedi
Mubarak Shah
VLM
147
0
0
20 Nov 2025
Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach
Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach
Aishwarya Agarwal
Srikrishna Karanam
Vineet Gandhi
VLM
241
0
0
17 Nov 2025
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time AdaptationMachine-mediated learning (ML), 2025
Ponhvoan Srey
Yaxin Shi
Hangwei Qian
Jing Li
Ivor Tsang
TTA
189
0
0
16 Nov 2025
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning
Shengqin Jiang
Tianqi Kong
Yuankai Qi
Haokui Zhang
Lina Yao
Quan Z. Sheng
Qingshan Liu
Ming-Hsuan Yang
CLL
210
0
0
15 Nov 2025
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
NeuCLIP: Efficient Large-Scale CLIP Training with Neural Normalizer Optimization
Xiyuan Wei
Chih-Jen Lin
Tianbao Yang
VLM
135
0
0
11 Nov 2025
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora
Nikolas Adaloglou
Diana Petrusheva
Mohamed Asker
Félix D. P. Michels
M. Kollmann
OODD
157
0
0
10 Nov 2025
Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
Decoupling Augmentation Bias in Prompt Learning for Vision-Language ModelsPattern Recognition (Pattern Recogn.), 2025
Gahyeon Kim
Sohee Kim
Seokju Lee
VLM
192
0
0
05 Nov 2025
Decoupled Entropy Minimization
Decoupled Entropy Minimization
Jing Ma
Hanlin Li
Xiang Xiang
105
0
0
05 Nov 2025
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking
Wenyuan Yang
Yichen Sun
Changzheng Chen
Zhixuan Chu
Jiaheng Zhang
Yiming Li
Dacheng Tao
AAML
116
0
0
05 Nov 2025
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning
Liwei Luo
Shuaitengyuan Li
Dongwei Ren
Qilong Wang
Q. Hu
Qinghua Hu
132
0
0
05 Nov 2025
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
Kun Zou
Yongheng Xu
Jianxing Yu
Yan Pan
Jian Yin
Hanjiang Lai
OODD
515
0
0
04 Nov 2025
Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
Arya Shah
Vaibhav Tripathi
107
0
0
04 Nov 2025
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
Hossein Abdi
Mingfei Sun
Wei Pan
VLM
235
0
0
03 Nov 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
Han Yu
Kehan Li
Dongbai Li
Yue He
Xingxuan Zhang
Peng Cui
OODD
354
2
0
31 Oct 2025
A Retrospect to Multi-prompt Learning across Vision and Language
A Retrospect to Multi-prompt Learning across Vision and LanguageIEEE International Conference on Computer Vision (ICCV), 2023
Ziliang Chen
Xin Huang
Quanlong Guan
Liang Lin
Weiqi Luo
VPVLMVLM
381
10
0
31 Oct 2025
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Shihab Aaqil Ahamed
Udaya S.K.P. Miriya Thanthrige
Ranga Rodrigo
Muhammad Haris Khan
VLM
203
0
0
30 Oct 2025
Enhancing CLIP Robustness via Cross-Modality Alignment
Enhancing CLIP Robustness via Cross-Modality Alignment
Xingyu Zhu
B. Zhu
Shuo Wang
Kesen Zhao
Hanwang Zhang
VLM
263
0
0
28 Oct 2025
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
Youngjun Choi
Joonseong Kang
Sungjun Lim
Kyungwoo Song
240
0
0
27 Oct 2025
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li
Josep Lopez Camunas
Jake Thomas Touchet
Jacob Andreas
Àgata Lapedriza
Antonio Torralba
Tamar Rott Shaham
195
0
0
24 Oct 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
288
1
0
23 Oct 2025
Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
Class-Aware Prototype Learning with Negative Contrast for Test-Time Adaptation of Vision-Language Models
Xiaozhen Qiao
Jingkai Zhao
Yuqiu Jiang
Xianda Guo
Zhe Sun
Hongyuan Zhang
Xuelong Li
VLM
153
0
0
22 Oct 2025
ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
ProCLIP: Progressive Vision-Language Alignment via LLM-based Embedder
Xiaoxing Hu
Kaicheng Yang
Ziyang Gong
Qi Ming
Zonghao Guo
Xiang An
Ziyong Feng
Junchi Yan
Xue Yang
CLIPVLM
227
0
0
21 Oct 2025
Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
Heming Zou
Yunliang Zang
Wutong Xu
Xiangyang Ji
180
1
0
19 Oct 2025
Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
Minh Khoi Nguyen Nhat
R. Teo
Laziz U. Abdullaev
Maurice Mok
Viet-Hoang Tran
T. Nguyen
MoE
177
0
0
18 Oct 2025
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Dung V. Nguyen
Anh T. Nguyen
Minh H. Nguyen
Luc Q. Nguyen
Shiqi Jiang
Ethan Fetaya
Linh Duy Tran
Gal Chechik
T. Nguyen
MoMe
189
1
0
17 Oct 2025
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
Omayma Moussadek
Riccardo Salami
Simone Calderara
FedMLCLL
185
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0
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Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Yi-Chung Chen
David I. Inouye
Jing Gao
DiffMVLM
128
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0
14 Oct 2025
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Jiawei Zhan
Jun Liu
Jinlong Peng
Xiaochen Chen
Bin-Bin Gao
Yong-Jin Liu
Chengjie Wang
CLL
179
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0
14 Oct 2025
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Shizhen Zhao
Jiahui Liu
Xin Wen
Haoru Tan
Xiaojuan Qi
OODDVLM
230
1
0
12 Oct 2025
Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model Adaptation
Cluster-Aware Prompt Ensemble Learning for Few-Shot Vision-Language Model AdaptationPattern Recognition (Pattern Recogn.), 2025
Zhi Chen
Xin Yu
Xiaohui Tao
Yan Li
Zi Huang
VLM
161
3
0
10 Oct 2025
D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models
D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models
Jisu Han
Wonjun Hwang
VLM
178
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0
10 Oct 2025
TTRV: Test-Time Reinforcement Learning for Vision Language Models
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Akshit Singh
Shyam Marjit
Wei Lin
Paul Gavrikov
Serena Yeung-Levy
Hilde Kuehne
Rogerio Feris
Sivan Doveh
James R. Glass
Muhammad Jehanzeb Mirza
VLM
245
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08 Oct 2025
NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
Avilash Rath
Weiliang Qi
Youpeng Li
Xinda Wang
144
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06 Oct 2025
Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
Lihua Zhou
Mao Ye
Shuaifeng Li
Nianxin Li
Jinlin Wu
X. Zhu
Lei Deng
Hongbin Liu
Jiebo Luo
Zhen Lei
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302
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Robust Context-Aware Object Recognition
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195
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SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
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POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
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