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2109.05211
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RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
11 September 2021
Shiyu Tang
Yazhe Niu
Yan Wang
Aishan Liu
Jinyang Guo
Xinyun Chen
F. Yu
Xianglong Liu
Basel Alomair
Alan Yuille
Juil Sock
Dacheng Tao
VLM
AAML
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Papers citing
"RobustART: Benchmarking Robustness on Architecture Design and Training Techniques"
50 / 81 papers shown
Probabilistic Robustness for Free? Revisiting Training via a Benchmark
Yi Zhang
Zheng Wang
Chen Zhen
Wenjie Ruan
Qing Guo
Siddartha Khastgir
Carsten Maple
Xingyu Zhao
AAML
OOD
487
1
0
03 Nov 2025
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Jiangfan Liu
Yongkang Guo
Fangzhi Zhong
Tianyuan Zhang
Zonglei Jing
Yaning Tan
Jinyang Guo
Mingchuan Zhang
Aishan Liu
Xianglong Liu
AAML
234
2
0
20 Aug 2025
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
M. Heuillet
Rishika Bhagwatkar
Jonas Ngnawé
Y. Pequignot
Alexandre Larouche
Christian Gagné
Irina Rish
Ola Ahmad
Audrey Durand
OOD
AAML
VLM
218
2
0
12 Aug 2025
MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving
Aishan Liu
Jinyang Guo
Tianyuan Zhang
Hainan Li
Jiangfan Liu
Yaning Tan
Yilong Ren
Xianglong Liu
Dacheng Tao
AAML
319
0
0
04 Aug 2025
PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation
Zonglei Jing
Xiao Yang
Xiaoqian Li
Yaning Tan
Aishan Liu
Mingchuan Zhang
Xianglong Liu
DiffM
265
1
0
02 Aug 2025
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
Wenhao Yao
Zhenxin Li
Shiyi Lan
Zi Wang
Xinglong Sun
Jose M. Alvarez
Zuxuan Wu
375
36
0
07 Jun 2025
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
AAML
656
1
0
20 May 2025
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Jenny Schmalfuss
Victor Oei
Lukas Mehl
Madlen Bartsch
Shashank Agnihotri
Margret Keuper
Andrés Bruhn
Andrés Bruhn
362
5
0
14 May 2025
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
Margret Keuper
485
0
0
08 May 2025
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
Xiaofeng Mao
YueFeng Chen
Rong Zhang
Hui Xue
Zhao Li
Hang Su
AAML
VLM
366
0
0
21 Mar 2025
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
Zonghao Ying
Guangyi Zheng
Yongxin Huang
Deyue Zhang
Wenxin Zhang
Quanchen Zou
Aishan Liu
Xianglong Liu
Dacheng Tao
ELM
360
30
0
19 Mar 2025
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
Neural Information Processing Systems (NeurIPS), 2025
Sy-Tuyen Ho
Tuan Van Vo
Somayeh Ebrahimkhani
Ngai-Man Cheung
355
2
0
08 Jan 2025
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Kuanrong Liu
Yaning Tan
Jiawei Liang
Pengwen Dai
Xiaochun Cao
MU
AAML
313
4
0
29 Sep 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Shihua Sun
Kenechukwu Nwodo
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
365
3
0
20 Sep 2024
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
Tianyuan Zhang
Lu Wang
Jiaqi Kang
Xinwei Zhang
Yaning Tan
Yuwei Chen
Aishan Liu
Xianglong Liu
AAML
271
6
0
11 Sep 2024
A Survey and Evaluation of Adversarial Attacks for Object Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Khoi Nguyen Tiet Nguyen
Wenyu Zhang
Kangkang Lu
Yuhuan Wu
Xingjian Zheng
Hui Li Tan
Liangli Zhen
AAML
457
0
0
04 Aug 2024
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
Yisong Xiao
Aishan Liu
QianJia Cheng
Zhenfei Yin
Yaning Tan
Jiapeng Li
Jing Shao
Xianglong Liu
Dacheng Tao
384
29
0
30 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Tianyuan Zhang
Lu Wang
Hainan Li
Yisong Xiao
Yaning Tan
Aishan Liu
Xianglong Liu
Dacheng Tao
447
22
0
03 Jun 2024
MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion
Zhe Li
Haiwei Pan
Kejia Zhang
Yuhua Wang
Feng Yu
Mamba
222
65
0
12 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
402
13
0
29 Mar 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
International Journal of Computer Vision (IJCV), 2024
Baoyuan Wu
Hongrui Chen
Ruotong Wang
Zihao Zhu
Shaokui Wei
Danni Yuan
Mingli Zhu
Ke Xu
Li Liu
Chaoxiao Shen
AAML
ELM
348
25
0
26 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds
IEEE International Joint Conference on Neural Network (IJCNN), 2024
P. Lorenz
Ricard Durall
Jansi Keuper
DiffM
531
1
0
12 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
432
2
0
21 Dec 2023
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
367
31
0
13 Dec 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Neural Information Processing Systems (NeurIPS), 2023
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
ELM
AAML
335
9
0
02 Nov 2023
Adversarial Examples in the Physical World: A Survey
Jinyang Guo
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
442
9
0
01 Nov 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
393
13
0
19 Oct 2023
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias
British Machine Vision Conference (BMVC), 2023
Hao Cheng
Jinhao Duan
Hui Li
Lyutianyang Zhang
Jiahang Cao
Ping Wang
Jize Zhang
Kaidi Xu
Renjing Xu
AAML
219
4
0
23 Sep 2023
Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks
British Machine Vision Conference (BMVC), 2023
Jindong Gu
Fangyun Wei
Juil Sock
Han Hu
AAML
225
1
0
12 Sep 2023
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
British Machine Vision Conference (BMVC), 2023
Sheng-Hsuan Peng
Weilin Xu
Cory Cornelius
Matthew Hull
Kevin Wenliang Li
Rahul Duggal
Mansi Phute
Jason Martin
Duen Horng Chau
AAML
318
62
0
30 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting
IEEE International Conference on Computer Vision (ICCV), 2023
Qidong Huang
Xiaoyi Dong
DongDong Chen
Yinpeng Chen
Lu Yuan
Gang Hua
Weiming Zhang
Neng H. Yu
AAML
331
14
0
20 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness
Paul Gavrikov
J. Keuper
AAML
383
4
0
12 Aug 2023
Exploring the Physical World Adversarial Robustness of Vehicle Detection
Wei Jiang
Tianyuan Zhang
Shuang Liu
Weiyu Ji
Zichao Zhang
Gang Xiao
AAML
201
8
0
07 Aug 2023
RobustMQ: Benchmarking Robustness of Quantized Models
Yisong Xiao
Aishan Liu
Tianyuan Zhang
Haotong Qin
Jinyang Guo
Xianglong Liu
MQ
303
26
0
04 Aug 2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
ACM Multimedia (ACM MM), 2023
Jun Guo
Aishan Liu
Xingyu Zheng
Yaning Tan
Yisong Xiao
Yichao Wu
Xianglong Liu
AAML
275
16
0
02 Aug 2023
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri
Kanchana Vaishnavi Gandikota
Julia Grabinski
Paramanand Chandramouli
Margret Keuper
236
12
0
25 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Conference on Machine Learning and Systems (MLSys), 2023
Yan Wang
Yuhang Li
Yazhe Niu
Aishan Liu
Yanfei Wang
...
Yongqiang Yao
Yunchen Zhang
Tianzi Xiao
F. Yu
Xianglong Liu
AAML
315
0
0
01 Jul 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Journal of remote sensing (JRS), 2023
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
407
15
0
21 Jun 2023
Neural Architecture Design and Robustness: A Dataset
International Conference on Learning Representations (ICLR), 2023
Steffen Jung
Jovita Lukasik
Margret Keuper
OOD
AAML
222
24
0
11 Jun 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Xingxing Wei
Shiji Zhao
Bo li
AAML
488
8
0
06 Jun 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
496
15
0
27 May 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
Computer Vision and Pattern Recognition (CVPR), 2023
Simin Li
Shuing Zhang
Gujun Chen
Dong Wang
Pu Feng
Jinyang Guo
Aishan Liu
Xin Yi
Xianglong Liu
AAML
222
28
0
22 May 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
International Symposium on Software Testing and Analysis (ISSTA), 2023
Yisong Xiao
Aishan Liu
Tianlin Li
Xianglong Liu
345
41
0
19 May 2023
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations
Tony Ma
Songze Li
Yisong Xiao
Shunchang Liu
203
2
0
11 Apr 2023
Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection
Tianyuan Zhang
Yisong Xiao
Xiaoya Zhang
Hao Li
Lujin Wang
AAML
140
6
0
11 Apr 2023
Benchmarking the Robustness of Quantized Models
Yisong Xiao
Tianyuan Zhang
Shunchang Liu
Haotong Qin
AAML
MQ
210
2
0
08 Apr 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
International Journal of Computer Vision (IJCV), 2023
Yu Xie
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
402
138
0
28 Feb 2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
USENIX Security Symposium (USENIX Security), 2023
Aishan Liu
Jun Guo
Jinyang Guo
Yaning Tan
Renshuai Tao
Wenbo Zhou
Cong Liu
Xianglong Liu
Dacheng Tao
AAML
260
96
0
19 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
International Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
569
298
0
09 Feb 2023
RobArch: Designing Robust Architectures against Adversarial Attacks
Sheng-Hsuan Peng
Weilin Xu
Cory Cornelius
Kevin Wenliang Li
Rahul Duggal
Duen Horng Chau
Jason Martin
AAML
280
8
0
08 Jan 2023
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