Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
Influence-driven data poisoning in graph-based semi-supervised classifiers
FRANCI, Adriano; CORDY, Maxime; GUBRI, Martin et al.
2022In International Conference on AI Engineering: Software Engineering for AI, p. 77–87
Peer reviewed
 

Files


Full Text
2012.07381.pdf
Author postprint (938.64 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
FRANCI, Adriano ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SerVal > Team Yves LE TRAON
CORDY, Maxime  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
GUBRI, Martin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SerVal > Team Mike PAPADAKIS
PAPADAKIS, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
Traon, YvesLe
External co-authors :
no
Language :
English
Title :
Influence-driven data poisoning in graph-based semi-supervised classifiers
Publication date :
2022
Event name :
1st International Conference on AI Engineering: Software Engineering for AI, CAIN 2022
Event date :
2022
Audience :
International
Journal title :
International Conference on AI Engineering: Software Engineering for AI
Pages :
77–87
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 28 December 2023

Statistics


Number of views
10 (0 by Unilu)
Number of downloads
4 (0 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
1
OpenCitations
 
1

Bibliography


Similar publications



Contact ORBilu