Security weaknesses in Machine Learning

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Presented at BSidesMunich 2019 by

Machine learning has emerged to a very promising technology in the last few years. It is integrated into more and more products and it’s likely that this trend will continue or even accelerate in the next few years. Machine learning is increasingly integrated even in security relevant and life-critical applications. Even though we have seen huge progress on that area recently we still don’t know very much about the security of these systems. Research is still in its infancy. This talk shows which attack vectors exist and how machine learning methods can be fooled and manipulated.