The Red Team of ML: Adversarial Examples
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The Red Team of ML: Adversarial Examples

Innovation Talk
Tuesday, November 13, 2018 19:20—19:30

European Commission: €2 billion will be invested into safeguarding the EU's digital economy, society and democracies through boosting cyber defence and the EU's cybersecurity industry.
Cybersecurity is more important than ever in this digital age; And machine learning (ML) is gaining a lot of attention.
One can think of many arguments of why ML is a game changer in the field of cybersecurity. In fact, today, many ML applications already exist to protect systems from cyberattacks in more intelligent ways than before. However, have we considered that our own ML models can be the direct targets of attacks? This talk elaborates on the topic of adversarial examples in ML; How they work and how you can defend against them. 

Frederic Stallaert
Frederic Stallaert
ML6
Frederic is a versatile, broad minded data engineer, passionate about machine learning and artificial intelligence. As a machine learning engineer & AI strategist at ML6, he works on a variety...
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