A method for automatically generating analogue benchmark suites using micro architectural event counters
By Simon McIntosh-Smith, Owen Thomas. 2011
15 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems
How researchers see this paper
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In Computer Networks and Communications
In Hardware and Architecture
In Information Systems
Citations in the corpus
- DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks (2019, background): “A line of research has focused on identifying the vulnerabilities of DNNs to various attacks including adversarial samples [Rouhani et al., 2018; Madry et al., 2017], data poisoning [Biggio et al., 2012; Rubinstein et al., 2009], and backdoor attacks [Gu et al., 2017; Liu et al., 2018].”