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Natural Adversarial Examples

Natural Adversarial Examples

16 July 2019
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
    OODD
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Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown
Title
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 Learning
Yiqin Lv
Qi Wang
Dong Liang
Zheng Xie
36
2
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 Models
Lu Yu
Haiyang Zhang
Changsheng Xu
AAML
VLM
23
3
0
29 Oct 2024
Vector Quantization Prompting for Continual Learning
Vector Quantization Prompting for Continual Learning
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLM
CLL
36
3
0
27 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 Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
47
6
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 Correcting
Xingyu Zhu
B. Zhu
Yi Tan
Shuo Wang
Y. Hao
Hanwang Zhang
VLM
VPVLM
32
1
0
25 Oct 2024
Probabilistic Language-Image Pre-Training
Probabilistic Language-Image Pre-Training
Sanghyuk Chun
Wonjae Kim
Song Park
Sangdoo Yun
MLLM
VLM
CLIP
111
4
2
24 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
23
0
0
24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
31
2
0
23 Oct 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via
  Regional Bootstrapping
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
Taolin Zhang
J. T. Wang
Hang Guo
Tao Dai
B. Chen
Shu-Tao Xia
VLM
TTA
19
0
0
20 Oct 2024
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts
R. Teo
Tan M. Nguyen
MoE
31
3
0
18 Oct 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Baiqi Li
Zhiqiu Lin
Wenxuan Peng
Jean de Dieu Nyandwi
Daniel Jiang
Zixian Ma
Simran Khanuja
Ranjay Krishna
Graham Neubig
Deva Ramanan
AAML
CoGe
VLM
69
21
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 Methods
Hariprasath Govindarajan
Per Sidén
Jacob Roll
Fredrik Lindsten
24
2
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 Momentum
Nashrah Haque
Xiang Li
Zhehui Chen
Yanzhao Wu
Lei Yu
Arun Iyengar
Wenqi Wei
DiffM
AAML
26
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 Models
Ce Zhang
Simon Stepputtis
Katia P. Sycara
Yaqi Xie
VLM
35
5
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
34
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
CLIP
DiffM
30
1
0
15 Oct 2024
A CLIP-Powered Framework for Robust and Generalizable Data Selection
A CLIP-Powered Framework for Robust and Generalizable Data Selection
S. M. I. Simon X. Yang
Peng Ye
Wanli Ouyang
Dongzhan Zhou
F. Shen
29
1
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
32
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 Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
30
0
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
28
0
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
26
0
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
81
1
0
08 Oct 2024
Precise Model Benchmarking with Only a Few Observations
Precise Model Benchmarking with Only a Few Observations
Riccardo Fogliato
Pratik Patil
Nil-Jana Akpinar
Mathew Monfort
24
0
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 Classification
Benjamin Feuer
Jiawei Xu
Niv Cohen
Patrick Yubeaton
Govind Mittal
Chinmay Hegde
21
1
0
07 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
Yixuan Li
Hongxin Wei
VLM
46
2
0
03 Oct 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh
Yixuan Li
Kyungwoo Song
Sangdoo Yun
Dongyoon Han
OOD
MoMe
43
4
0
03 Oct 2024
Toward a Holistic Evaluation of Robustness in CLIP Models
Toward a Holistic Evaluation of Robustness in CLIP Models
Weijie Tu
Weijian Deng
Tom Gedeon
VLM
36
5
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 Perspective
Yanan Zhang
Jiangmeng Li
Lixiang Liu
Wenwen Qiang
VLM
24
1
0
01 Oct 2024
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
44
1
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
20
0
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 Recognition
Iván Reyes-Amezcua
Michael Rojas-Ruiz
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
C. Daul
24
0
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
Junfan Li
Qinghua Hu
Qianli Xu
Mike Zheng Shou
Changqing Zhang
TTA
VLM
46
2
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
36
7
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
29
3
0
26 Sep 2024
HydraViT: Stacking Heads for a Scalable ViT
HydraViT: Stacking Heads for a Scalable ViT
Janek Haberer
A. Hojjat
Olaf Landsiedel
26
0
0
26 Sep 2024
Cascade Prompt Learning for Vision-Language Model Adaptation
Cascade Prompt Learning for Vision-Language Model Adaptation
Ge Wu
Xin Zhang
Zheng Li
Zhaowei Chen
Jiajun Liang
Jian Yang
Xiang Li
VLM
22
7
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
Yao Hu
Baochang Zhang
MQ
VLM
37
0
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 rEgularization
Yao Ni
Shan Zhang
Piotr Koniusz
131
2
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
25
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
BDL
OOD
353
1
0
25 Sep 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
80
1
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
27
0
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
34
0
0
17 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
93
0
0
14 Sep 2024
Control+Shift: Generating Controllable Distribution Shifts
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman
Rhea Chowers
39
0
0
12 Sep 2024
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
27
0
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 Alignment
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
VLM
31
3
0
03 Sep 2024
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
42
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A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
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Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
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Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
45
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Hierarchical Visual Categories Modeling: A Joint Representation Learning
  and Density Estimation Framework for Out-of-Distribution Detection
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Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
33
2
0
28 Aug 2024
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