Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges. (arXiv:2201.04736v1 [cs.CR])

The rapid development of Machine Learning (ML) has demonstrated superior
performance in many areas, such as computer vision, video and speech
recognition. It has now been increasingly leveraged in software systems to
automate the core tasks. However, how to securely develop the machine
learning-based modern software systems (MLBSS) remains a big challenge, for
which the insufficient consideration will largely limit its application in
safety-critical domains. One concern is that the present MLBSS development
tends to be rush, and the latent …

challenges machine machine learning practices security software survey systems threats