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1 Ergebnisse
1
Unforgeability in Stochastic Gradient Descent:
, In:
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
,
Baluta, Teodora
;
Nikolic, Ivica
;
Jain, Racchit
.. - p. 1138-1152 , 2023
Link:
https://dl.acm.org/doi/10.1145/3576915.3623093
RT T1 <cTitle>Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security</cTitle>: T1 <Title>Unforgeability in Stochastic Gradient Descent</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3623093&Exemplar=1&LAN=DE A1 Baluta, Teodora A1 Nikolic, Ivica A1 Jain, Racchit A1 Aggarwal, Divesh A1 Saxena, Prateek PB ACM YR 2023 K1 algebraic precision K1 approximate forgery K1 neural networks K1 proof-of-learning logs K1 stochastic gradient descent K1 unforgeability K1 Security and privacy K1 Software and application security K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Symbolic and algebraic manipulation K1 Symbolic and algebraic algorithms K1 Algebraic algorithms SP 1138 OP 1152 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3576915.3623093 DO https://dl.acm.org/doi/10.1145/3576915.3623093 SF ELIB - SuUB Bremen
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