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1 Ergebnisse
1
LoneNeuron: A Highly-Effective Feature-Domain Neural Trojan..:
, In:
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
,
Liu, Zeyan
;
Li, Fengjun
;
Li, Zhu
. - p. 2129-2143 , 2022
Link:
https://dl.acm.org/doi/10.1145/3548606.3560678
RT T1 <cTitle>Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>LoneNeuron: A Highly-Effective Feature-Domain Neural Trojan Using Invisible and Polymorphic Watermarks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3560678&Exemplar=1&LAN=DE A1 Liu, Zeyan A1 Li, Fengjun A1 Li, Zhu A1 Luo, Bo PB ACM YR 2022 K1 adversarial machine learning K1 neural trojans K1 vit backdoor K1 Security and privacy K1 Computing methodologies K1 Machine learning K1 Artificial intelligence SP 2129 OP 2143 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3548606.3560678 DO https://dl.acm.org/doi/10.1145/3548606.3560678 SF ELIB - SuUB Bremen
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