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1
On the Adversarial Transferability of ConvMixer Models:
, In:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Iijima, Ryota
;
Tanaka, Miki
;
Echizen, Isao
. - p. 1826-1830 , 2022
Link:
https://doi.org/10.23919/APSIPAASC55919.2022.9980243
RT T1 <cTitle>2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)</cTitle>: T1 <Title>On the Adversarial Transferability of ConvMixer Models</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9980243&Exemplar=1&LAN=DE A1 Iijima, Ryota A1 Tanaka, Miki A1 Echizen, Isao A1 Kiya, Hitoshi YR 2022 SN 2640-0103 K1 Deep learning K1 Neural networks K1 Closed box K1 Information processing K1 Benchmark testing K1 Robustness K1 Cryptography SP 1826 OP 1830 LK http://dx.doi.org/https://doi.org/10.23919/APSIPAASC55919.2022.9980243 DO https://doi.org/10.23919/APSIPAASC55919.2022.9980243 SF ELIB - SuUB Bremen
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