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CosPGD: an efficient white-box adversarial attack for pixel-wise
  prediction tasks

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks

4 February 2023
Shashank Agnihotri
Steffen Jung
M. Keuper
    AAML
ArXivPDFHTML

Papers citing "CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks"

23 / 23 papers shown
Title
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
M. Keuper
50
0
0
08 May 2025
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions?
Shashank Agnihotri
David Schader
Nico Sharei
Mehmet Ege Kaçar
M. Keuper
41
2
0
07 May 2025
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Zhonghua Yi
Hao-miao Shi
Qi Jiang
Yao Gao
Ze Wang
Y. Zhang
Kailun Yang
Kaiwei Wang
AAML
73
1
0
22 Nov 2024
How Do Training Methods Influence the Utilization of Vision Models?
How Do Training Methods Influence the Utilization of Vision Models?
Paul Gavrikov
Shashank Agnihotri
M. Keuper
J. Keuper
26
2
0
18 Oct 2024
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty
  Estimation: A Deep Analysis
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
Kira Maag
Roman Resner
Asja Fischer
AAML
26
0
0
19 Aug 2024
Beware of Aliases -- Signal Preservation is Crucial for Robust Image
  Restoration
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
Shashank Agnihotri
Julia Grabinski
Janis Keuper
M. Keuper
34
5
0
11 Jun 2024
As Firm As Their Foundations: Can open-sourced foundation models be used
  to create adversarial examples for downstream tasks?
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Anjun Hu
Jindong Gu
Francesco Pinto
Konstantinos Kamnitsas
Philip H. S. Torr
AAML
SILM
32
5
0
19 Mar 2024
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on
  Segmentation Models
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models
Francesco Croce
Matthias Hein
VLM
25
3
0
24 Nov 2023
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on
  Semantic Segmentation
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
Kira Maag
Asja Fischer
AAML
SSeg
34
3
0
26 Oct 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks
  on Optical Flow
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow
Erik Scheurer
Jenny Schmalfuss
Alexander Lis
Andrés Bruhn
AAML
21
6
0
26 Oct 2023
Transferable Attack for Semantic Segmentation
Transferable Attack for Semantic Segmentation
Mengqi He
Jing Zhang
Zhaoyuan Yang
Mingyi He
Nick Barnes
Yuchao Dai
36
2
0
31 Jul 2023
On the unreasonable vulnerability of transformers for image restoration
  -- and an easy fix
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix
Shashank Agnihotri
Kanchana Vaishnavi Gandikota
Julia Grabinski
Paramanand Chandramouli
M. Keuper
32
9
0
25 Jul 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
24
1
0
25 Jun 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image
  Deraining for Semantic Segmentation
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
Xianghao Jiao
Yao-Tsorng Liu
Jiaxin Gao
Xinyuan Chu
Risheng Liu
Xin-Yue Fan
VLM
26
6
0
25 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic
  Segmentation
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
Kira Maag
Asja Fischer
AAML
UQCV
21
4
0
22 May 2023
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation
Jenny Schmalfuss
Lukas Mehl
Andrés Bruhn
AAML
29
15
0
11 May 2023
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific
  Camera Parameters
Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters
Hendrik Sommerhoff
Shashank Agnihotri
Mohamed Saleh
Michael Moeller
M. Keuper
A. Kolb
3DV
38
6
0
28 Apr 2023
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene
  Flow, Optical Flow and Stereo
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
Lukas Mehl
Jenny Schmalfuss
Azin Jahedi
Yaroslava Nalivayko
Andrés Bruhn
VGen
36
57
0
03 Mar 2023
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
228
677
0
19 Oct 2020
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,828
0
18 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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