Alaa Anani (PhD Student)

MSc Alaa Anani

Address: Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Location: E1 4 - 627
Phone: +49 681 9325 2145
Fax: +49 681 9325 2099
E-mail: Get email via email

Personal Information

Publications

2025

Conference paper

D2

A. Anani, T. Lorenz, M. Fritz, and B. Schiele

“Pixel-level Certified Explanations via Randomized Smoothing,” in Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), Vancouver, Canada.

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BibTeX

@inproceedings{Anani-et-al_ICML25,
TITLE = {Pixel-level Certified Explanations via Randomized Smoothing},
AUTHOR = {Anani, Alaa and Lorenz, Tobias and Fritz, Mario and Schiele, Bernt},
LANGUAGE = {eng},
URL = {https://openreview.net/forum?id=NngoETL9IK},
YEAR = {2025},
PUBLREMARK = {Accepted},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)},
ADDRESS = {Vancouver, Canada},
}

Endnote

%0 Conference Proceedings
%A Anani, Alaa
%A Lorenz, Tobias 
%A Fritz, Mario 
%A Schiele, Bernt
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Pixel-level Certified Explanations via Randomized Smoothing : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0011-66DB-4
%U https://openreview.net/forum?id=NngoETL9IK
%D 2025
%B 42nd International Conference on Machine Learning
%Z date of event: 2025-07-13 - 2025-07-19
%C Vancouver, Canada
%B Proceedings of the 42nd International Conference on Machine Learning

2024

Conference paper

D2

A. Anani, T. Lorenz, B. Schiele, and M. Fritz

“Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing,” in Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024.

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BibTeX

@inproceedings{pmlr-v235-anani24a,
TITLE = {Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing},
AUTHOR = {Anani, Alaa and Lorenz, Tobias and Schiele, Bernt and Fritz, Mario},
LANGUAGE = {eng},
ISSN = {2640-3498},
URL = {https://proceedings.mlr.press/v235/anani24a.html; https://proceedings.mlr.press/v235/},
PUBLISHER = {MLR Press},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
BOOKTITLE = {Proceedings of the 41st International Conference on Machine Learning (ICML 2024)},
EDITOR = {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
PAGES = {1531--1556},
SERIES = {Proceedings of the Machine Learning Research},
VOLUME = {235},
ADDRESS = {Vienna, Austria},
}

Endnote

%0 Conference Proceedings
%A Anani, Alaa
%A Lorenz, Tobias
%A Schiele, Bernt
%A Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-B0C5-B
%U https://proceedings.mlr.press/v235/anani24a.html
%D 2024
%B 41st International Conference on Machine Learning
%Z date of event: 2024-07-21 - 2024-07-27
%C Vienna, Austria
%B Proceedings of the 41st International Conference on Machine Learning
%E Salakhutdinov, Ruslan; Kolter, Zico; Heller, Katherine; Weller, Adrian; Oliver, Nuria; Scarlett, Jonathan; Berkenkamp, Felix
%P 1531 - 1556
%I MLR Press
%B Proceedings of the Machine Learning Research
%N 235
%@ false

Thesis

D2

A. Anani

“Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing,” Universität des Saarlandes, Saarbrücken, 2024.

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BibTeX

@mastersthesis{AnaniMSc24,
TITLE = {Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing},
AUTHOR = {Anani, Alaa},
LANGUAGE = {eng},
SCHOOL = {Universit{\"a}t des Saarlandes},
ADDRESS = {Saarbr{\"u}cken},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
}

Endnote

%0 Thesis
%A Anani, Alaa
%Y Schiele, Bernt
%Y Fritz, Mario
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-D70F-F
%I Universit&#228;t des Saarlandes
%C Saarbr&#252;cken
%D 2024
%P XII, 57 p.
%V master
%9 master