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2101.09617
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A Comprehensive Evaluation Framework for Deep Model Robustness
24 January 2021
Jun Guo
Wei Bao
Jiakai Wang
Yuqing Ma
Xing Gao
Gang Xiao
Aishan Liu
Zehao Zhao
Xianglong Liu
Wenjun Wu
AAML
ELM
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Papers citing
"A Comprehensive Evaluation Framework for Deep Model Robustness"
8 / 8 papers shown
Title
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
Shunxin Wang
Raymond N. J. Veldhuis
N. Strisciuglio
VLM
66
0
0
05 Mar 2025
GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
Yisong Xiao
Aishan Liu
QianJia Cheng
Zhenfei Yin
Siyuan Liang
Jiapeng Li
Jing Shao
Xianglong Liu
Dacheng Tao
26
4
0
30 Jun 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Luca Demetrio
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
39
6
0
30 Apr 2024
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
Yisong Xiao
Aishan Liu
Tianlin Li
Xianglong Liu
17
25
0
19 May 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
X. Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
15
72
0
28 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
F. I. F. Richard Yu
Xianglong Liu
MQ
AAML
16
36
0
26 Jan 2023
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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