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Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

28 March 2019
Dan Hendrycks
Thomas G. Dietterich
    OODVLM
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Neural Network Robustness to Common Corruptions and Perturbations"

50 / 113 papers shown
Title
Test-time augmentation improves efficiency in conformal prediction
Test-time augmentation improves efficiency in conformal prediction
Divya Shanmugam
H. Lu
Swami Sankaranarayanan
John Guttag
225
0
0
28 May 2025
Energy-based Preference Optimization for Test-time Adaptation
Energy-based Preference Optimization for Test-time Adaptation
Yewon Han
Seoyun Yang
Taesup Kim
TTA
277
0
0
26 May 2025
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Hong-Hanh Nguyen-Le
Van-Tuan Tran
Dinh-Thuc Nguyen
Nhien-An Le-Khac
AAMLTTA
146
0
0
24 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation
Yuhui Zhang
Dongshen Wu
Yuichiro Wada
Takafumi Kanamori
OODD
226
1
0
22 May 2025
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
Raza Imam
Rufael Marew
Mohammad Yaqub
AAMLVLM
61
0
0
21 May 2025
TDFormer: A Top-Down Attention-Controlled Spiking Transformer
TDFormer: A Top-Down Attention-Controlled Spiking Transformer
Zizheng Zhu
Yingchao Yu
Zeqi Zheng
Zhaofei Yu
Yaochu Jin
62
0
0
17 May 2025
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
83
0
0
11 May 2025
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
516
0
0
08 May 2025
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
Songping Wang
Hanqing Liu
Yueming Lyu
Xiantao Hu
Ziwen He
Wenjie Wang
Caifeng Shan
Lei Wang
AAML
355
1
0
21 Apr 2025
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift
Jiongchi Yu
Xiaofei Xie
Q. Hu
Bowen Zhang
Ziming Zhao
Yun Lin
Lei Ma
Ruitao Feng
Frank Liau
83
0
0
12 Apr 2025
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
Giulia Marchiori Pietrosanti
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
297
0
0
02 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
141
0
0
01 Apr 2025
Segment Any-Quality Images with Generative Latent Space Enhancement
Segment Any-Quality Images with Generative Latent Space Enhancement
Guangqian Guo
Yoong Guo
Xuehui Yu
Wenbo Li
Yaoxing Wang
Shan Gao
VLM
168
0
0
16 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers
APLA: A Simple Adaptation Method for Vision Transformers
Moein Sorkhei
Emir Konuk
Kevin Smith
Christos Matsoukas
117
0
0
14 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Di Lin
FedML
167
1
0
12 Mar 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
Xiangxiang Chu
Renda Li
Yong Wang
221
1
0
08 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
478
1
0
28 Feb 2025
Your contrastive learning problem is secretly a distribution alignment problem
Your contrastive learning problem is secretly a distribution alignment problem
Zihao Chen
Chi-Heng Lin
Ran Liu
Jingyun Xiao
Eva L. Dyer
114
1
0
27 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Benedikt Alkin
Lukas Miklautz
Sepp Hochreiter
Johannes Brandstetter
VLM
232
8
0
24 Feb 2025
Vision-LSTM: xLSTM as Generic Vision Backbone
Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin
M. Beck
Korbinian Poppel
Sepp Hochreiter
Johannes Brandstetter
VLM
199
49
0
24 Feb 2025
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
213
2
0
15 Feb 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Abrar Anwar
Rohan Gupta
Zain Merchant
Sayan Ghosh
Willie Neiswanger
Jesse Thomason
OffRL
168
1
0
14 Feb 2025
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
Luke E. Richards
Jessie Yaros
Jasen Babcock
Coung Ly
Robin Cosbey
Timothy Doster
Cynthia Matuszek
NAI
120
0
0
13 Feb 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving
Towards Robust Unsupervised Attention Prediction in Autonomous Driving
Mengshi Qi
Xiaoyang Bi
Pengfei Zhu
Huadong Ma
200
0
0
25 Jan 2025
Geometric Median (GM) Matching for Robust Data Pruning
Geometric Median (GM) Matching for Robust Data Pruning
Anish Acharya
Inderjit S Dhillon
Sujay Sanghavi
AAML
115
0
0
20 Jan 2025
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation
Yunzhi Zhuge
Hongyu Gu
Lu Zhang
Jinqing Qi
Huchuan Lu
VOS
169
3
0
14 Jan 2025
Robust Conformal Prediction Using Privileged Information
Robust Conformal Prediction Using Privileged Information
Shai Feldman
Yaniv Romano
OOD
532
3
0
10 Jan 2025
Sample Correlation for Fingerprinting Deep Face Recognition
Sample Correlation for Fingerprinting Deep Face Recognition
Jiyang Guan
Jian Liang
Yanbo Wang
Ran He
AAML
142
0
0
31 Dec 2024
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations
Caixin Kang
Yubo Chen
Shouwei Ruan
Shiji Zhao
Ruochen Zhang
Jiayi Wang
Shan Fu
Xingxing Wei
CVBM
146
0
0
03 Dec 2024
Referring Video Object Segmentation via Language-aligned Track Selection
Referring Video Object Segmentation via Language-aligned Track Selection
Seongchan Kim
Woojeong Jin
Sangbeom Lim
Heeji Yoon
Hyunwook Choi
Seungryong Kim
VOS
138
0
0
02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
153
0
0
29 Nov 2024
Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines
Filip Ilievski
Barbara Hammer
F. V. Harmelen
Benjamin Paassen
S. Saralajew
...
Vered Shwartz
Gabriella Skitalinskaya
Clemens Stachl
Gido M. van de Ven
T. Villmann
282
1
0
23 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
TTA
508
0
0
20 Nov 2024
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen
F. Lucka
Tristan van Leeuwen
DiffM
136
0
0
09 Nov 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
Margret Keuper
AAML
92
3
0
30 Oct 2024
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
Lukas Tatzel
Bálint Mucsányi
Osane Hackel
Philipp Hennig
86
0
0
18 Oct 2024
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
168
9
0
17 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
233
0
0
10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTAAAML
107
1
0
07 Oct 2024
IT$^3$: Idempotent Test-Time Training
IT3^33: Idempotent Test-Time Training
Nikita Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
OODVLM
93
1
0
05 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
111
2
0
04 Oct 2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness
Boqian Wu
Q. Xiao
Shunxin Wang
N. Strisciuglio
Mykola Pechenizkiy
M. V. Keulen
Decebal Constantin Mocanu
Elena Mocanu
OOD3DH
194
3
0
03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
373
0
0
03 Oct 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
Haohuan Fu
Haohuan Fu
TTA
107
1
0
29 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
69
0
0
27 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
138
5
0
08 Aug 2024
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge
Hao Ding
Tuxun Lu
Yuqian Zhang
Ruixing Liang
Hongchao Shu
...
Bo Wang
Marcos Fernández-Rodríguez
Estevao Lima
João L. Vilaça
Mathias Unberath
213
4
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16 Jul 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
141
1
0
21 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training
CTBENCH: A Library and Benchmark for Certified Training
Yuhao Mao
Stefan Balauca
Martin Vechev
OOD
92
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Robust Classification by Coupling Data Mollification with Label Smoothing
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
107
1
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03 Jun 2024
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