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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
Say My Name: a Model's Bias Discovery Framework
Say My Name: a Model's Bias Discovery Framework
Massimiliano Ciranni
Luca Molinaro
C. Barbano
Attilio Fiandrotti
Vittorio Murino
Vito Paolo Pastore
Enzo Tartaglione
255
4
0
18 Aug 2024
Linking Robustness and Generalization: A k* Distribution Analysis of
  Concept Clustering in Latent Space for Vision Models
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
Shashank Kotyan
Pin-Yu Chen
Danilo Vasconcellos Vargas
OOD
227
0
0
17 Aug 2024
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of
  Vision-Language Models
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Eman Ali
Sathira Silva
Muhammad Haris Khan
VLM
319
5
0
16 Aug 2024
Towards flexible perception with visual memory
Towards flexible perception with visual memory
Robert Geirhos
P. Jaini
Austin Stone
Sourabh Medapati
Xi Yi
G. Toderici
Abhijit Ogale
Jonathon Shlens
498
2
0
15 Aug 2024
Efficient Test-Time Prompt Tuning for Vision-Language Models
Efficient Test-Time Prompt Tuning for Vision-Language Models
Yuhan Zhu
Guozhen Zhang
Chen Xu
Haocheng Shen
Xiaoxin Chen
Gangshan Wu
Limin Wang
VLM
281
8
0
11 Aug 2024
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Efficient and Versatile Robust Fine-Tuning of Zero-shot ModelsEuropean Conference on Computer Vision (ECCV), 2024
Sungyeon Kim
Boseung Jeong
Donghyun Kim
Suha Kwak
VLM
233
9
0
11 Aug 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond
  Scaling
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond ScalingNeural Information Processing Systems (NeurIPS), 2024
Haider Al-Tahan
Q. Garrido
Randall Balestriero
Diane Bouchacourt
C. Hazirbas
Mark Ibrahim
VLM
284
22
0
09 Aug 2024
CAS-ViT: Convolutional Additive Self-attention Vision Transformers for
  Efficient Mobile Applications
CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications
Tianfang Zhang
Lei Li
Yang Zhou
Wentao Liu
Chen Qian
Xiangyang Ji
ViT
211
71
0
07 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey
Fairness and Bias Mitigation in Computer Vision: A Survey
Sepehr Dehdashtian
Ruozhen He
Yi Li
Guha Balakrishnan
Nuno Vasconcelos
Vicente Ordonez
Vishnu Boddeti
351
13
0
05 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
Shaopeng Fu
Xuexue Sun
Ke Qing
Tianhang Zheng
Haiyan Zhao
AAMLMIACVSILM
615
0
0
05 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Bartłomiej Twardowski
Joost van de Weijer
Changsheng Xu
CLL
359
2
0
02 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
476
2
0
31 Jul 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Richard Ren
Steven Basart
Adam Khoja
Alice Gatti
Long Phan
...
Alexander Pan
Gabriel Mukobi
Ryan H. Kim
Stephen Fitz
Dan Hendrycks
ELM
270
47
0
31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksEuropean Conference on Computer Vision (ECCV), 2024
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAMLVLM
493
9
0
30 Jul 2024
Diffusion Feedback Helps CLIP See Better
Diffusion Feedback Helps CLIP See BetterInternational Conference on Learning Representations (ICLR), 2024
Wenxuan Wang
Quan-Sen Sun
Fan Zhang
Yepeng Tang
Jing Liu
Xinlong Wang
VLM
331
39
0
29 Jul 2024
Advancing Prompt Learning through an External Layer
Advancing Prompt Learning through an External LayerACM Multimedia (MM), 2024
Fangming Cui
Xun Yang
Chao Wu
Liang Xiao
Xinmei Tian
VLM
585
5
0
29 Jul 2024
Selective Vision-Language Subspace Projection for Few-shot CLIP
Selective Vision-Language Subspace Projection for Few-shot CLIP
Xingyu Zhu
Beier Zhu
Yi Tan
Shuo Wang
Yanbin Hao
Haiqi Zhang
VLM
235
18
0
24 Jul 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
356
5
0
24 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical
  Context Descriptions
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai-Chun Liu
Zhihang Fu
Chao Chen
Sheng Jin
Ze Chen
Mingyuan Tao
Rongxin Jiang
Jieping Ye
VLMOODD
228
6
0
23 Jul 2024
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot
  Generalization of Vision-Language Models
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models
Raza Imam
Hanan Gani
Muhammad Huzaifa
Karthik Nandakumar
VLM
151
13
0
22 Jul 2024
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Fudong Lin
Jiadong Lou
Xu Yuan
Nianfeng Tzeng
ViTAAML
287
3
0
22 Jul 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Jingchen Sun
Rohan Sharma
Vishnu Suresh Lokhande
Changyou Chen
328
0
0
22 Jul 2024
Robust Calibration of Large Vision-Language Adapters
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
OODDVLM
316
21
0
18 Jul 2024
CoAPT: Context Attribute words for Prompt Tuning
CoAPT: Context Attribute words for Prompt Tuning
Gun Lee
Subin An
Sungyong Baik
Soochahn Lee
VPVLMVLM
268
2
0
18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the
  Wild Dataset
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
Mijoo Kim
Junseok Kwon
UQCV
169
3
0
17 Jul 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic
  Online Data Streams
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang
Zhixiang Chi
Yanan Wu
Li Gu
Zhi Liu
Konstantinos Plataniotis
Yang Wang
OODTTA
282
8
0
16 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models
Self-Guided Generation of Minority Samples Using Diffusion Models
Soobin Um
Jong Chul Ye
DiffM
239
13
0
16 Jul 2024
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer
  from Text to Image via CLIP Inversion
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
Philipp Allgeuer
Kyra Ahrens
Stefan Wermter
CLIPVLM
286
6
0
15 Jul 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust
  Recognition
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
330
8
0
15 Jul 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on
  Robustness
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen
Yurong Zhang
Xiaokun Feng
Xiangxiang Chu
Kaiqi Huang
AAML
298
10
0
12 Jul 2024
NODE-Adapter: Neural Ordinary Differential Equations for Better
  Vision-Language Reasoning
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Yi Zhang
Chun-Wun Cheng
Ke Yu
Zhihai He
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
VLM
248
3
0
11 Jul 2024
Enhancing Robustness of Vision-Language Models through Orthogonality
  Learning and Cross-Regularization
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Cross-Regularization
Jinlong Li
Zequn Jie
Elisa Ricci
Lin Ma
Andrii Zadaianchuk
VLM
344
1
0
11 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
378
9
0
08 Jul 2024
Wavelet Convolutions for Large Receptive Fields
Wavelet Convolutions for Large Receptive Fields
Shahaf E. Finder
Roy Amoyal
Eran Treister
Oren Freifeld
ViTMDE
489
320
0
08 Jul 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting,
  and Transportation
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
324
24
0
05 Jul 2024
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
Mushui Liu
Bozheng Li
Yunlong Yu
VLMCLIP
114
7
0
04 Jul 2024
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision
  Transformer
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
Qian Feng
Hanbin Zhao
Chao Zhang
Jiahua Dong
Henghui Ding
Yu-Gang Jiang
Hui Qian
VLM
169
6
0
04 Jul 2024
Improving Zero-shot Generalization of Learned Prompts via Unsupervised
  Knowledge Distillation
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Marco Mistretta
Alberto Baldrati
Marco Bertini
Andrew D. Bagdanov
VPVLMVLM
480
20
0
03 Jul 2024
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
Lukas Mauch
Marzieh Edraki
Aaron Courville
OODDCLLVLM
379
9
0
03 Jul 2024
Knowledge Composition using Task Vectors with Learned Anisotropic
  Scaling
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
Frederic Z. Zhang
Paul Albert
Cristian Rodriguez-Opazo
Anton van den Hengel
Ehsan Abbasnejad
MoMe
272
26
0
03 Jul 2024
Conceptual Codebook Learning for Vision-Language Models
Conceptual Codebook Learning for Vision-Language Models
Yi Zhang
Ke Yu
Siqi Wu
Zhihai He
VLM
464
5
0
02 Jul 2024
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training
  with Limited Resources
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
Xiyuan Wei
Fanjiang Ye
Ori Yonay
Xingyu Chen
Baixi Sun
Dingwen Tao
Tianbao Yang
VLMCLIP
403
5
0
01 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
303
38
0
01 Jul 2024
Improving robustness to corruptions with multiplicative weight
  perturbations
Improving robustness to corruptions with multiplicative weight perturbations
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
216
2
0
24 Jun 2024
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
Wenqian Ye
Bohan Liu
Yunsheng Ma
Xu Cao
Bolin Lai
James M. Rehg
Bolin Lai
James M. Rehg
Aidong Zhang
199
27
0
24 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
627
1
0
21 Jun 2024
Flat Posterior Does Matter For Bayesian Model Averaging
Flat Posterior Does Matter For Bayesian Model Averaging
Sungjun Lim
Jeyoon Yeom
Sooyon Kim
Hoyoon Byun
Jinho Kang
Yohan Jung
Jiyoung Jung
Kyungwoo Song
BDLAAML
807
0
0
21 Jun 2024
African or European Swallow? Benchmarking Large Vision-Language Models
  for Fine-Grained Object Classification
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
Gregor Geigle
Radu Timofte
Goran Glavaš
217
18
0
20 Jun 2024
Unveiling the Hidden Structure of Self-Attention via Kernel Principal
  Component Analysis
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
R. Teo
Tan M. Nguyen
357
7
0
19 Jun 2024
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language
  Model
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language ModelKnowledge Discovery and Data Mining (KDD), 2024
Jiang-Xin Shi
Chi Zhang
Tong Wei
Yu-Feng Li
VLM
177
3
0
18 Jun 2024
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