Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Stealing Machine Learning Models: Attacks and Countermeasures for Generative Adversarial Networks
Hu, Hailong; Pang, Jun
2021In Proceedings of the 37th Annual Computer Security Applications Conference (ACSAC'21)
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Hu, Hailong  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Mauw
Pang, Jun  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
Stealing Machine Learning Models: Attacks and Countermeasures for Generative Adversarial Networks
Publication date :
2021
Event name :
37th Annual Computer Security Applications Conference
Event date :
2021
Audience :
International
Main work title :
Proceedings of the 37th Annual Computer Security Applications Conference (ACSAC'21)
Publisher :
ACM
Pages :
1-16
Peer reviewed :
Peer reviewed
FnR Project :
FNR13550291 - Privacy Attacks And Protection In Machine Learning As A Service, 2019 (01/12/2019-30/11/2023) - Hailong Hu
Available on ORBilu :
since 08 December 2021

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