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1711.09856
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On the Robustness of Semantic Segmentation Models to Adversarial Attacks
27 November 2017
Anurag Arnab
O. Mikšík
Philip H. S. Torr
AAML
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Papers citing
"On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
47 / 47 papers shown
Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
Giulia Marchiori Pietrosanti
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
82
0
0
02 Apr 2025
What Sketch Explainability Really Means for Downstream Tasks
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
30
4
0
14 Mar 2024
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
Y. Fu
Ye Yuan
Souvik Kundu
Shang Wu
Shunyao Zhang
Yingyan Lin
AAML
60
6
0
10 Jun 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
Kira Maag
Asja Fischer
AAML
UQCV
21
4
0
22 May 2023
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
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
Shashank Agnihotri
Steffen Jung
M. Keuper
AAML
29
21
0
04 Feb 2023
Robust Perception through Equivariance
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
29
7
0
12 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip H. S. Torr
Jiaya Jia
AAML
26
2
0
11 Dec 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses
Adnan Qayyum
M. A. Butt
Hassan Ali
Muhammad Usman
O. Halabi
Ala I. Al-Fuqaha
Q. Abbasi
Muhammad Ali Imran
Junaid Qadir
30
32
0
24 Oct 2022
Repainting and Imitating Learning for Lane Detection
Yue He
Minyue Jiang
Xiaoqing Ye
Liang Du
Zhikang Zou
Wei Zhang
Xiao Tan
Errui Ding
13
1
0
11 Oct 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Soma Kontár
A. Horváth
AAML
31
1
0
21 May 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Jungbeom Lee
Eunji Kim
J. Mok
Sung-Hoon Yoon
WSOL
40
29
0
11 Apr 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
13
3
0
03 Mar 2022
Semi-supervised Identification and Mapping of Surface Water Extent using Street-level Monitoring Videos
Ruoqian Wang
Yang Ding
13
6
0
31 Jan 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
30
37
0
05 Jan 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection
Jiangjiang Liu
Alexander Levine
Chun Pong Lau
Ramalingam Chellappa
S. Feizi
AAML
24
76
0
08 Dec 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Salah Ghamizi
Maxime Cordy
Mike Papadakis
Yves Le Traon
OOD
AAML
25
18
0
26 Oct 2021
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLM
OOD
29
12
0
02 Sep 2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy
Ruikui Wang
Yuanfang Guo
Ruijie Yang
Yunhong Wang
AAML
17
3
0
16 Aug 2021
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
F. Nesti
Giulio Rossolini
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
23
74
0
13 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
25
65
0
26 Jul 2021
Improved Text Classification via Contrastive Adversarial Training
Lin Pan
Chung-Wei Hang
Avirup Sil
Saloni Potdar
AAML
18
86
0
21 Jul 2021
Towards Robust General Medical Image Segmentation
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
23
25
0
09 Jul 2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Pu Sun
Yuezun Li
H. Qi
Siwei Lyu
15
17
0
01 Feb 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing
Andreas Bär
Jonas Löhdefink
Nikhil Kapoor
Serin Varghese
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
AAML
106
33
0
11 Jan 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
24
101
0
09 Nov 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning
Youngjoon Yu
Hong Joo Lee
Byeong Cheon Kim
Jung Uk Kim
Yong Man Ro
AAML
36
18
0
22 May 2020
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
30
38
0
26 Feb 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra
Adel Bibi
Hasan Hammoud
M. Gaafar
Bernard Ghanem
11
26
0
20 Feb 2020
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
F. Mokhayeri
Dmytro Mishkin
Daniel Ponsa
Ethan Rublee
Gary R. Bradski
VLM
AI4TS
17
345
0
05 Oct 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
J. Hopcroft
AAML
18
552
0
17 Aug 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Seungju Cho
Tae Joon Jun
Byungsoo Oh
Daeyoung Kim
17
31
0
14 Aug 2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Utku Ozbulak
Arnout Van Messem
W. D. Neve
MedIm
AAML
17
60
0
30 Jul 2019
Adversarial Metric Attack and Defense for Person Re-identification
S. Bai
Yingwei Li
Yuyin Zhou
Qizhu Li
Philip H. S. Torr
AAML
13
17
0
30 Jan 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers
Daniel Liu
Ronald Yu
Hao Su
3DPC
28
165
0
10 Jan 2019
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
18
60
0
10 Dec 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAML
GNN
25
78
0
25 Oct 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
21
1,072
0
05 Jan 2018
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
31
350
0
06 Dec 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
231
1,837
0
03 Feb 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
233
2,056
0
07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
793
0
27 May 2015
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