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Performance statistics and learning based detection of expl..:
, In:
Proceedings of the 16th ACM International Conference on Computing Frontiers
,
Dutta, Swastika
;
Sinha, Sayan
- p. 206-210 , 2019
Link:
https://dl.acm.org/doi/10.1145/3310273.3322832
RT T1 <cTitle>Proceedings of the 16th ACM International Conference on Computing Frontiers</cTitle>: T1 <Title>Performance statistics and learning based detection of exploitative speculative attacks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3322832&Exemplar=1&LAN=DE A1 Dutta, Swastika A1 Sinha, Sayan PB ACM YR 2019 K1 LSTM K1 correlation coefficient K1 fourier transform K1 hardware performance counters K1 meltdown K1 spectre K1 Security and privacy K1 Security in hardware K1 Hardware attacks and countermeasures K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Side-channel analysis and countermeasures SP 206 OP 210 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3310273.3322832 DO https://dl.acm.org/doi/10.1145/3310273.3322832 SF ELIB - SuUB Bremen
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