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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
Adversarial Attacks and Defenses in Large Language Models: Old and New
  Threats
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats
Leo Schwinn
David Dobre
Stephan Günnemann
Gauthier Gidel
AAMLELM
239
62
0
30 Oct 2023
A Survey on Knowledge Editing of Neural Networks
A Survey on Knowledge Editing of Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Vittorio Mazzia
Alessandro Pedrani
Andrea Caciolai
Kay Rottmann
Davide Bernardi
KELM
412
38
0
30 Oct 2023
Fast Trainable Projection for Robust Fine-Tuning
Fast Trainable Projection for Robust Fine-TuningNeural Information Processing Systems (NeurIPS), 2023
Junjiao Tian
Yen-Cheng Liu
James Seale Smith
Z. Kira
OOD
268
18
0
29 Oct 2023
Robustifying Language Models with Test-Time Adaptation
Robustifying Language Models with Test-Time Adaptation
Noah T. McDermott
Junfeng Yang
Chengzhi Mao
246
3
0
29 Oct 2023
How Well Do Feature-Additive Explainers Explain Feature-Additive
  Predictors?
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Zachariah Carmichael
Walter J. Scheirer
FAtt
257
8
0
27 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural
  Networks
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Yang Liu
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Simeng Qin
Juil Sock
AAML
397
50
0
26 Oct 2023
Break it, Imitate it, Fix it: Robustness by Generating Human-Like
  Attacks
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks
Aradhana Sinha
Ananth Balashankar
Ahmad Beirami
Thi Avrahami
Jilin Chen
Alex Beutel
AAML
235
6
0
25 Oct 2023
Multi-scale Diffusion Denoised Smoothing
Multi-scale Diffusion Denoised SmoothingNeural Information Processing Systems (NeurIPS), 2023
Jongheon Jeong
Jinwoo Shin
DiffM
336
14
0
25 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by
  Exploring Variant Parameters for Out-of-Distribution Generalization
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution GeneralizationInternational Journal of Computer Vision (IJCV), 2023
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
291
16
0
25 Oct 2023
TiC-CLIP: Continual Training of CLIP Models
TiC-CLIP: Continual Training of CLIP ModelsInternational Conference on Learning Representations (ICLR), 2023
Saurabh Garg
Mehrdad Farajtabar
Hadi Pouransari
Raviteja Vemulapalli
Sachin Mehta
Oncel Tuzel
Vaishaal Shankar
Fartash Faghri
VLMCLIP
361
40
0
24 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
406
17
0
20 Oct 2023
Learning with Unmasked Tokens Drives Stronger Vision Learners
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim
Sanghyuk Chun
Byeongho Heo
Dongyoon Han
SSL
288
3
0
20 Oct 2023
Frozen Transformers in Language Models Are Effective Visual Encoder
  Layers
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
Ziqi Pang
Ziyang Xie
Yunze Man
Yu-Xiong Wang
431
48
0
19 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial
  Robustness under Distribution Shift
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
320
12
0
19 Oct 2023
Enhancing Plasticity for First Session Adaptation Continual Learning
Enhancing Plasticity for First Session Adaptation Continual Learning
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
388
3
0
17 Oct 2023
Real-Fake: Effective Training Data Synthesis Through Distribution
  Matching
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingInternational Conference on Learning Representations (ICLR), 2023
Jianhao Yuan
Jie Zhang
Shuyang Sun
Juil Sock
Bo Zhao
239
45
0
16 Oct 2023
Does CLIP's Generalization Performance Mainly Stem from High Train-Test
  Similarity?
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Prasanna Mayilvahanan
Thaddäus Wiedemer
E. Rusak
Matthias Bethge
Wieland Brendel
OODD
348
40
0
14 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data
  Rejection
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
236
2
0
12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
Beier Zhu
Kaihua Tang
Qianru Sun
Hanwang Zhang
267
33
0
12 Oct 2023
Impact of Label Types on Training SWIN Models with Overhead Imagery
Impact of Label Types on Training SWIN Models with Overhead Imagery
Ryan Ford
Kenneth Hutchison
Nicholas Felts
Benjamin Cheng
Jesse Lew
Kyle Jackson
222
0
0
11 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
NECO: NEural Collapse Based Out-of-distribution detectionInternational Conference on Learning Representations (ICLR), 2023
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
342
30
0
10 Oct 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD
  Generalization and Robustness
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva
Kameron Shahabi
Willie Neiswanger
240
7
0
09 Oct 2023
Text-driven Prompt Generation for Vision-Language Models in Federated
  Learning
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu
Xingyu Li
Chaithanya Kumar Mummadi
Madan Ravi Ganesh
Zhenzhen Li
Lu Peng
Wan-Yi Lin
VLMFedML
294
18
0
09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
279
18
0
09 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution ShiftInternational Conference on Learning Representations (ICLR), 2023
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
242
5
0
08 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust
  Classifiers
IPMix: Label-Preserving Data Augmentation Method for Training Robust ClassifiersNeural Information Processing Systems (NeurIPS), 2023
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
600
16
0
07 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection
  Algorithms
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection AlgorithmsInternational Conference on Learning Representations (ICLR), 2023
William Yang
Byron Zhang
Olga Russakovsky
OODD
316
20
0
03 Oct 2023
Unified Uncertainty Calibration
Unified Uncertainty Calibration
Kamalika Chaudhuri
David Lopez-Paz
310
0
0
02 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution
  Generalization
Spurious Feature Diversification Improves Out-of-distribution GeneralizationInternational Conference on Learning Representations (ICLR), 2023
Yong Lin
Lu Tan
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
OODD
255
33
0
29 Sep 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
295
41
0
29 Sep 2023
VPA: Fully Test-Time Visual Prompt Adaptation
VPA: Fully Test-Time Visual Prompt AdaptationACM Multimedia (ACM MM), 2023
Jiachen Sun
Mark Ibrahim
Melissa Hall
Ivan Evtimov
Z. Morley Mao
Cristian Canton Ferrer
C. Hazirbas
VLM
191
15
0
26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection
Nearest Neighbor Guidance for Out-of-Distribution DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Yoon Gyo Jung
Andrew Beng Jin Teoh
OODD
272
60
0
26 Sep 2023
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive LossNeural Information Processing Systems (NeurIPS), 2023
R. S. Srinivasa
Jaejin Cho
Chouchang Yang
Yashas Malur Saidutta
Ching Hua Lee
Yilin Shen
Hongxia Jin
VLM
202
17
0
26 Sep 2023
Pixel-Grounded Prototypical Part Networks
Pixel-Grounded Prototypical Part NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zachariah Carmichael
Suhas Lohit
A. Cherian
Michael Jeffrey Jones
Walter J. Scheirer
307
17
0
25 Sep 2023
Tuning Multi-mode Token-level Prompt Alignment across Modalities
Tuning Multi-mode Token-level Prompt Alignment across ModalitiesNeural Information Processing Systems (NeurIPS), 2023
Dongsheng Wang
Miaoge Li
Xinyang Liu
Mingsheng Xu
Bo Chen
Hanwang Zhang
VLM
239
35
0
25 Sep 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge GraphNeural Information Processing Systems (NeurIPS), 2023
Xin Li
Dongze Lian
Zhihe Lu
Jiawang Bai
Zhibo Chen
Xinchao Wang
VLM
274
100
0
24 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Dream the Impossible: Outlier Imagination with Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
321
86
0
23 Sep 2023
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Improving CLIP Robustness with Knowledge Distillation and Self-Training
Clement Laroudie
Andrei Bursuc
Mai Lan Ha
Gianni Franchi
VLM
207
6
0
19 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient ChannelsInternational Journal of Computer Vision (IJCV), 2023
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
493
21
0
15 Sep 2023
Gradient constrained sharpness-aware prompt learning for vision-language
  models
Gradient constrained sharpness-aware prompt learning for vision-language models
Liangchen Liu
Nannan Wang
Dawei Zhou
Xinbo Gao
Decheng Liu
Xi Yang
Tongliang Liu
VLM
228
3
0
14 Sep 2023
Efficiently Robustify Pre-trained Models
Efficiently Robustify Pre-trained ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Nishant Jain
Iit Roorkee
Harkirat Singh Behl
Vibhav Vineet
OODVLM
152
3
0
14 Sep 2023
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness
  and Ethics
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics
Haoqin Tu
Bingchen Zhao
Chen Wei
Cihang Xie
MLLM
180
19
0
13 Sep 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning ToolboxScience China Information Sciences (Sci China Inf Sci), 2023
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
672
47
0
13 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Elvis Nunez
Thomas Merth
Anish K. Prabhu
Mehrdad Farajtabar
Mohammad Rastegari
Sachin Mehta
Maxwell Horton
230
1
0
08 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTAOOD
255
9
0
07 Sep 2023
Distribution-Aware Prompt Tuning for Vision-Language Models
Distribution-Aware Prompt Tuning for Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Eulrang Cho
Jooyeon Kim
Hyunwoo J. Kim
VPVLMVLM
158
46
0
06 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention
  Design in CNN
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNNExpert systems with applications (ESWA), 2023
Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
VLM
255
402
0
04 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language
  Reasoning
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language ReasoningBritish Machine Vision Conference (BMVC), 2023
Yi Zhang
Ce Zhang
Zihan Liao
Yushun Tang
Zhihai He
BDLVLM
272
11
0
03 Sep 2023
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for
  Vision-Language Models
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Cheng Shi
Sibei Yang
VLM
313
32
0
03 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical
  Cyber-Physical Systems
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh
I. Ruchkin
Insup Lee
James Weimer
AAMLOOD
205
0
0
01 Sep 2023
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