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Towards Security Threats of Deep Learning Systems: A Survey
[article]
2020
arXiv
pre-print
Deep learning has gained tremendous success and great popularity in the past few years. However, deep learning systems are suffering several inherent weaknesses, which can threaten the security of learning models. Deep learning's wide use further magnifies the impact and consequences. To this end, lots of research has been conducted with the purpose of exhaustively identifying intrinsic weaknesses and subsequently proposing feasible mitigation. Yet few are clear about how these weaknesses are
arXiv:1911.12562v2
fatcat:m3lyece44jgdbp6rlcpj6dz2gm