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1 Ergebnisse
1
SoK: Pitfalls in Evaluating Black-Box Attacks:
, In:
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
,
Suya, Fnu
;
Suri, Anshuman
;
Zhang, Tingwei
... - p. 387-407 , 2024
Link:
https://doi.org/10.1109/SaTML59370.2024.00026
RT T1 <cTitle>2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)</cTitle>: T1 <Title>SoK: Pitfalls in Evaluating Black-Box Attacks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10516640&Exemplar=1&LAN=DE A1 Suya, Fnu A1 Suri, Anshuman A1 Zhang, Tingwei A1 Hong, Jingtao A1 Tian, Yuan A1 Evans, David YR 2024 K1 Threat modeling K1 Runtime K1 Taxonomy K1 Closed box K1 Organizations K1 Machine learning K1 Vectors K1 black-box attacks K1 adversarial examples K1 transfer attacks K1 query attacks SP 387 OP 407 LK http://dx.doi.org/https://doi.org/10.1109/SaTML59370.2024.00026 DO https://doi.org/10.1109/SaTML59370.2024.00026 SF ELIB - SuUB Bremen
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