Machine Learning

A Survey of Privacy Attacks in Machine Learning
As machine learning becomes more widely used, the need to study its implications in security and privacy becomes more urgent. Research …
Maria Rigaki, Sebastian Garcia
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Stealing and evading malware classifiers and antivirus at low false positive conditions
Model stealing attacks have been successfully used in many machine learning domains, but there is little understanding of how these …
Maria Rigaki, Sebastian Garcia
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