Machine-Learning

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 attacks work against models that perform malware …

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Maria Rigaki

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 on the security aspects of machine learning, …

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Maria Rigaki

Changing Weights and Biases Programmatically for "Neural Network Hacking" and more

TL;DR Using Tensorflow / Keras APIs to read and change Neural Network parameters. A few days ago I came across a paper called “Hacking Neural Networks” by Michael Kissner aka …

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Maria Rigaki