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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
Noise is an Efficient Learner for Zero-Shot Vision-Language Models
Raza Imam
Asif Hanif
Jian Zhang
Khaled Waleed Dawoud
Yova Kementchedjhieva
Mohammad Yaqub
VLM
276
3
0
09 Feb 2025
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
Hummingbird: High Fidelity Image Generation via Multimodal Context AlignmentInternational Conference on Learning Representations (ICLR), 2025
Minh-Quan Le
Gaurav Mittal
Tianjian Meng
A S M Iftekhar
Vishwas Suryanarayanan
Barun Patra
Dimitris Samaras
Mei Chen
DiffM
363
0
0
07 Feb 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model AdaptationInternational Conference on Learning Representations (ICLR), 2025
Can Jin
Ying Li
Mingyu Zhao
Shiyu Zhao
Zhenting Wang
Xiaoxiao He
Ligong Han
Tong Che
Dimitris N. Metaxas
VPVLMVLM
1.1K
8
0
02 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness
Trading Inference-Time Compute for Adversarial Robustness
Wojciech Zaremba
Evgenia Nitishinskaya
Boaz Barak
Stephanie Lin
Sam Toyer
...
Rachel Dias
Eric Wallace
Kai Y. Xiao
Johannes Heidecke
Amelia Glaese
LRMAAML
432
50
0
31 Jan 2025
Vision-Language Model Selection and Reuse for Downstream Adaptation
Vision-Language Model Selection and Reuse for Downstream Adaptation
Hao-Zhe Tan
Zhi Zhou
Lan-Zhe Guo
Yu-Feng Li
VLM
362
0
0
30 Jan 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
Behraj Khan
T. Syed
1.1K
2
0
29 Jan 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?IEEE International Joint Conference on Neural Network (IJCNN), 2024
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
J. Vankerschaver
303
2
0
28 Jan 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
259
4
0
28 Jan 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
318
0
0
21 Jan 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Yassir Bendou
Amine Ouasfi
Vincent Gripon
A. Boukhayma
VLM
367
6
0
19 Jan 2025
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
BMIP: Bi-directional Modality Interaction Prompt Learning for VLMInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Song-Lin Lv
Yu-Yang Chen
Zhi Zhou
Ming Yang
Lan-Zhe Guo
VLM
172
1
0
14 Jan 2025
Leveraging Registers in Vision Transformers for Robust Adaptation
Leveraging Registers in Vision Transformers for Robust AdaptationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Srikar Yellapragada
Kowshik Thopalli
V. Narayanaswamy
W. Sakla
Yang Liu
Yamen Mubarka
Dimitris Samaras
Jayaraman J. Thiagarajan
174
1
0
10 Jan 2025
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and InsightsNeural Information Processing Systems (NeurIPS), 2025
Sy-Tuyen Ho
Tuan Van Vo
Somayeh Ebrahimkhani
Ngai-Man Cheung
300
1
0
08 Jan 2025
Measuring Error Alignment for Decision-Making Systems
Measuring Error Alignment for Decision-Making SystemsAAAI Conference on Artificial Intelligence (AAAI), 2024
Binxia Xu
Antonis Bikakis
Daniel Onah
A. Vlachidis
Luke Dickens
402
1
0
03 Jan 2025
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding TasksInternational Conference on Learning Representations (ICLR), 2024
Ziyan Jiang
Rui Meng
Xinyi Yang
Semih Yavuz
Yingbo Zhou
Lei Ma
MLLMVLM
596
98
0
03 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLMVLM
649
1
0
31 Dec 2024
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang
Shuo He
Bingquan Shen
Bingquan Shen
Lei Feng
AAML
562
4
0
29 Dec 2024
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level
  Vision-Language Alignment
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language AlignmentComputer Vision and Pattern Recognition (CVPR), 2024
Cijo Jose
Théo Moutakanni
Dahyun Kang
Federico Baldassarre
Timothée Darcet
...
Maxime Oquab
Oriane Siméoni
Huy V. Vo
Patrick Labatut
Piotr Bojanowski
CLIPVLM
356
39
0
20 Dec 2024
Adapter-Enhanced Semantic Prompting for Continual Learning
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin
Ji Zhao
Huajie Jiang
Ningning Hou
Yongli Hu
Amin Beheshti
Ming-Hsuan Yang
Yuankai Qi
CLLVLM
530
0
0
15 Dec 2024
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision
  Performance
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance
Wenjun Huang
Jianguo Hu
238
0
0
14 Dec 2024
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models
  with Prompt Ensembling
Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt EnsemblingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Donggeun Kim
Yujin Jo
Myungjoo Lee
Taesup Kim
VLM
221
1
0
10 Dec 2024
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance
Chu Myaet Thwal
Ye Lin Tun
Minh N. H. Nguyen
Eui-nam Huh
Choong Seon Hong
VLM
407
0
0
05 Dec 2024
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning
Varun Belagali
Srikar Yellapragada
Alexandros Graikos
S. Kapse
Zilinghan Li
Tarak Nandi
Ravi K. Madduri
Prateek Prasanna
Joel H. Saltz
Dimitris Samaras
DiffM
300
2
0
02 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot ModelsNeural Information Processing Systems (NeurIPS), 2024
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Hao Sun
Ricardo Silva
Ningyu Zhang
426
1
0
29 Nov 2024
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental LearningNeural Networks (NN), 2024
Zhiming Xu
Steve Yang
Baile Xu
Furao Shen
Jian Zhao
CLL
614
0
0
26 Nov 2024
Style-Pro: Style-Guided Prompt Learning for Generalizable
  Vision-Language Models
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Niloufar Alipour Talemi
Hossein Kashiani
Fatemeh Afghah
CLIPVLM
334
2
0
25 Nov 2024
Making Images from Images: Interleaving Denoising and Transformation
Making Images from Images: Interleaving Denoising and Transformation
S. Baluja
David Marwood
Ashwin Baluja
DiffM
221
0
0
24 Nov 2024
LibraGrad: Balancing Gradient Flow for Universally Better Vision
  Transformer Attributions
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer AttributionsComputer Vision and Pattern Recognition (CVPR), 2024
Faridoun Mehri
Mahdieh Soleymani Baghshah
Mohammad Taher Pilehvar
295
3
0
24 Nov 2024
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image
  Modeling
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling
Zhong-Yu Li
Yunheng Li
Deng-Ping Fan
Ming-Ming Cheng
355
0
0
24 Nov 2024
Test-time Alignment-Enhanced Adapter for Vision-Language Models
Test-time Alignment-Enhanced Adapter for Vision-Language ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Baoshun Tong
Kaiyu Song
Hanjiang Lai
VLM
276
2
0
24 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Jiabo He
Yu-Gang Jiang
AAMLVLM
538
5
0
22 Nov 2024
On the Surprising Effectiveness of Attention Transfer for Vision
  Transformers
On the Surprising Effectiveness of Attention Transfer for Vision TransformersNeural Information Processing Systems (NeurIPS), 2024
Alexander C. Li
Yuandong Tian
Bin Chen
Deepak Pathak
Xinlei Chen
208
9
0
14 Nov 2024
Robust Fine-tuning of Zero-shot Models via Variance Reduction
Robust Fine-tuning of Zero-shot Models via Variance ReductionNeural Information Processing Systems (NeurIPS), 2024
B. Zhu
Jiequan Cui
Han Zhang
VLMOODD
229
6
0
11 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
232
1
0
11 Nov 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning
  with Pre-Trained Models
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained ModelsNeural Information Processing Systems (NeurIPS), 2024
Linglan Zhao
Xuerui Zhang
K. Yan
Shouhong Ding
Weiran Huang
CLL
225
11
0
04 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity
Mouin Ben Ammar
David Brellmann
Arturo Mendoza
Antoine Manzanera
Gianni Franchi
OODD
395
0
0
04 Nov 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
Rethinking Weight Decay for Robust Fine-Tuning of Foundation ModelsNeural Information Processing Systems (NeurIPS), 2024
Junjiao Tian
Chengyue Huang
Z. Kira
189
3
0
03 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge
  Continuity
Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
297
2
0
03 Nov 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream
  Generalization of CLIP
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIPNeural Information Processing Systems (NeurIPS), 2024
Chen Huang
Skyler Seto
Samira Abnar
David Grangier
Navdeep Jaitly
J. Susskind
VLM
265
4
0
31 Oct 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk
  Minimization in Meta Learning
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta LearningNeural Information Processing Systems (NeurIPS), 2024
Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
294
5
0
30 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in
  Vision-Language Models
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Lu Yu
Haiyang Zhang
Changsheng Xu
AAMLVLM
319
14
0
29 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionNeural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
329
15
0
27 Oct 2024
Vector Quantization Prompting for Continual Learning
Vector Quantization Prompting for Continual LearningNeural Information Processing Systems (NeurIPS), 2024
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLMCLL
280
9
0
27 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution
  Learning and Bias Correcting
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias CorrectingNeural Information Processing Systems (NeurIPS), 2024
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
Hanwang Zhang
VLMVPVLM
295
17
0
25 Oct 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
WASP: A Weight-Space Approach to Detecting Learned Spuriousness
Cristian Daniel Păduraru
Antonio Bărbălău
Radu Filipescu
Andrei Liviu Nicolicioiu
Elena Burceanu
324
0
0
24 Oct 2024
Probabilistic Language-Image Pre-Training
Probabilistic Language-Image Pre-TrainingInternational Conference on Learning Representations (ICLR), 2024
Sanghyuk Chun
Wonjae Kim
Song Park
Sangdoo Yun
MLLMVLMCLIP
1.2K
14
2
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Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual LearningInternational Conference on Learning Representations (ICLR), 2024
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedMLMoMeCLL
492
16
0
23 Oct 2024
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for
  Contrastive Loss
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Zesen Cheng
Hang Zhang
Kehan Li
Sicong Leng
Zhiqiang Hu
Fei Wu
Deli Zhao
Xin Li
Lidong Bing
160
3
0
22 Oct 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via
  Regional Bootstrapping
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional BootstrappingNeural Information Processing Systems (NeurIPS), 2024
Taolin Zhang
Jinqiao Wang
Hang Guo
Tao Dai
Bin Chen
Shu-Tao Xia
VLMTTA
282
0
0
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MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of ExpertsNeural Information Processing Systems (NeurIPS), 2024
R. Teo
Tan M. Nguyen
MoE
221
6
0
18 Oct 2024
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