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Adversarial Examples on Segmentation Models Can be Easy to Transfer
22 November 2021
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip H. S. Torr
AAML
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Papers citing
"Adversarial Examples on Segmentation Models Can be Easy to Transfer"
7 / 7 papers shown
Title
Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images
Siddharth Kothari
Srinivasan Murali
Sankalp Kothari
Ujjwal Verma
Jaya Sreevalsan-Nair
54
0
0
03 May 2025
Fooling Polarization-based Vision using Locally Controllable Polarizing Projection
Zhuoxiao Li
Zhihang Zhong
S. Nobuhara
Ko Nishino
Yinqiang Zheng
AAML
31
1
0
31 Mar 2023
Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai
Yaoteng Tan
M. Salman Asif
AAML
27
14
0
25 Mar 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
39
2
0
03 Jan 2023
LAS-AT: Adversarial Training with Learnable Attack Strategy
Xiaojun Jia
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
47
131
0
13 Mar 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1