HANNOVER MESSE 2020, 20 - 24 April
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Defending Deep Neural Networks

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Artificial Intelligence, Digital Factory, Industrie 4.0

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What is presented? 

We present a new approach, called Randomly Perturbed Ensemble Neural Networks (RPENNs), to defend artificial neural networks against adversarial input. We compare our approach against common defense mechanisms. We also benchmark our approach against several attack methods.

What is special? 

Common defense mechanisms are tailored towards one particular attack scheme. As soon as an attacker changes the attack approach, a common defense mechanism breaks down. Our defense mechanism is robust against a range of attacks, which enables us to achieve a higher robustness against attacks in general.

What are the potentials? 

Potentially, our method hardens systems, that use deep learning, against malicious input.


 Prof. Dr. Dirk Nowotka

Prof. Dr. Dirk Nowotka

Christian-Albrechts-Universität zu Kiel

Dr. Dirk Nowotka leads the Dependable Systems group of the Computer Science department at Kiel University, Germany. Prior to joining Kiel as a Heisenberg-Professor in 2011, he was a research scientist ...

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