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GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GHAMIZI, Salah; Zhang, Jingfeng; CORDY, Maxime et al.
2023 • In Proceedings of the International Conference on Machine Learning (ICML), 202, p. 11255–11282
Peer reviewed
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https://hdl.handle.net/10993/59135
 

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Disciplines :
Computer science
Author, co-author :
GHAMIZI, Salah ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SerVal > Team Yves LE TRAON
Zhang, Jingfeng
CORDY, Maxime  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
PAPADAKIS, Mike ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
Sugiyama, Masashi
LE TRAON, Yves ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal
External co-authors :
yes
Language :
English
Title :
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Publication date :
2023
Event name :
International Conference on Machine Learning (ICML)
Event date :
2023, 23-29 July
Audience :
International
Journal title :
Proceedings of the International Conference on Machine Learning (ICML)
Volume :
202
Pages :
11255–11282
Peer reviewed :
Peer reviewed
Additional URL :
https://proceedings.mlr.press/v202/ghamizi23a.html
Available on ORBilu :
since 23 December 2023

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