English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

CosPGD: An Efficient White-Box Adversarial Attack for Pixel-Wise Prediction Tasks

MPS-Authors
/persons/resource/persons251916

Jung,  Steffen
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons180612

Keuper,  Margret
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Agnihotri, S., Jung, S., & Keuper, M. (in press). CosPGD: An Efficient White-Box Adversarial Attack for Pixel-Wise Prediction Tasks. In Proceedings of the 41st International Conference on Machine Learning (pp. 26495-26516).


Cite as: https://hdl.handle.net/21.11116/0000-000F-3F1E-B
Abstract
There is no abstract available