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2302.14301
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A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
28 February 2023
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
X. Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
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Papers citing
"A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking"
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Title
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Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
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Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
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Kehan Wu
Yanbo Fan
Rui Huang
Baoyuan Wu
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23 Apr 2025
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
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12 Apr 2025
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset
Shiao Wang
X. Wang
Bo Jiang
Lin Zhu
G. Li
Y. Wang
Yonghong Tian
Jin Tang
133
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08 Apr 2025
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability
Mohammad Hossein Najafi
Mohammad Morsali
Mohammadreza Pashanejad
Saman Soleimani Roudi
Mohammad Norouzi
Saeed Bagheri Shouraki
AAML
23
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0
07 Apr 2025
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
Philip Doldo
Derek Everett
Amol Khanna
A. Nguyen
Edward Raff
AAML
46
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0
25 Mar 2025
Beyond Accuracy: What Matters in Designing Well-Behaved Models?
Robin Hesse
Doğukan Bağcı
Bernt Schiele
Simone Schaub-Meyer
Stefan Roth
VLM
59
0
0
21 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
Jin Li
Ziqiang He
Anwei Luo
Jian-Fang Hu
Zhong Wang
Xiangui Kang
DiffM
61
0
0
12 Mar 2025
MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image
Shaoming Li
Qing Cai
Songqi Kong
Runqing Tan
Heng Tong
Shiji Qiu
Yongguo Jiang
Z. Liu
3DV
3DPC
47
0
0
28 Feb 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang
Keping Bi
Wei Chen
J. Guo
Xueqi Cheng
BDL
VLM
50
1
0
25 Feb 2025
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
LRM
AAML
87
15
0
31 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
43
0
0
31 Dec 2024
The Superalignment of Superhuman Intelligence with Large Language Models
Minlie Huang
Yingkang Wang
Shiyao Cui
Pei Ke
J. Tang
107
1
0
15 Dec 2024
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training
Niranjan Rajesh
Georgin Jacob
SP Arun
OOD
61
0
0
25 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
72
1
0
20 Nov 2024
On the Robustness of Adversarial Training Against Uncertainty Attacks
Emanuele Ledda
Giovanni Scodeller
Daniele Angioni
Giorgio Piras
Antonio Emanuele Cinà
Giorgio Fumera
Battista Biggio
Fabio Roli
AAML
28
1
0
29 Oct 2024
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
28
0
0
19 Oct 2024
Low-Rank Adversarial PGD Attack
Dayana Savostianova
Emanuele Zangrando
Francesco Tudisco
AAML
23
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0
16 Oct 2024
Characterizing Model Robustness via Natural Input Gradients
Adrian Rodriguez-Munoz
Tongzhou Wang
Antonio Torralba
AAML
35
1
0
30 Sep 2024
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks
Keiichiro Yamamura
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
33
0
0
07 Aug 2024
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
55
7
0
01 Aug 2024
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition
Xiao-Li Li
Yining Liu
Na Dong
Sitian Qin
Xiaolin Hu
36
3
0
15 Jul 2024
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
Raffaele Mura
Giuseppe Floris
Luca Scionis
Giorgio Piras
Maura Pintor
Ambra Demontis
Giorgio Giacinto
Battista Biggio
Fabio Roli
AAML
50
0
0
11 Jul 2024
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
31
0
0
02 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
32
2
0
28 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
73
1
0
21 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
Sajjad Amini
Mohammadreza Teymoorianfard
Shiqing Ma
Amir Houmansadr
OOD
AAML
32
6
0
09 Jun 2024
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck
Bart Goossens
AAML
35
1
0
24 May 2024
Can Biases in ImageNet Models Explain Generalization?
Paul Gavrikov
J. Keuper
OOD
VLM
34
11
0
01 Apr 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance
Huakun Shen
Boyue Caroline Hu
Krzysztof Czarnecki
Lina Marsso
Marsha Chechik
37
0
0
29 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
28
6
0
11 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
Yatong Bai
Mo Zhou
Vishal M. Patel
Somayeh Sojoudi
AAML
19
6
0
03 Feb 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds
P. Lorenz
Ricard Durall
Jansi Keuper
DiffM
40
1
0
12 Jan 2024
Revisiting Adversarial Training at Scale
Zeyu Wang
Xianhang Li
Hongru Zhu
Cihang Xie
32
15
0
09 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
Meixi Zheng
Xuanchen Yan
Zihao Zhu
Hongrui Chen
Baoyuan Wu
ELM
MLAU
AAML
34
7
0
28 Dec 2023
Initialization Matters for Adversarial Transfer Learning
Andong Hua
Jindong Gu
Zhiyu Xue
Nicholas Carlini
Eric Wong
Yao Qin
AAML
27
6
0
10 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
Xiaoyun Xu
Shujian Yu
Jingzheng Wu
S. Picek
AAML
35
0
0
08 Dec 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model
AprilPyone Maungmaung
Isao Echizen
Hitoshi Kiya
VLM
AAML
26
0
0
28 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Jiang-Long Liu
Chen Wei
Yuxiang Guo
Heng Yu
Alan L. Yuille
S. Feizi
Chun Pong Lau
Rama Chellappa
DiffM
AAML
27
5
0
27 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
ELM
AAML
33
2
0
02 Nov 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
24
0
0
19 Oct 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings
AprilPyone Maungmaung
Isao Echizen
Hitoshi Kiya
AAML
28
2
0
04 Sep 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
Qizhang Li
Yiwen Guo
Xiaochen Yang
W. Zuo
Hao Chen
AAML
BDL
26
2
0
21 Jul 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce
Naman D. Singh
Matthias Hein
VLM
32
7
0
22 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
23
11
0
21 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
38
4
0
27 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OOD
VLM
25
11
0
10 May 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman D. Singh
Francesco Croce
Matthias Hein
OOD
32
62
0
03 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
Chang-rui Liu
Wenzhao Xiang
Yuan He
H. Xue
Shibao Zheng
Hang Su
30
3
0
28 Feb 2023
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