97 citations · 170 across the 10 of their papers we have counts for
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cs.CV2018★ 44 cited
Adversarial Examples - A Complete Characterisation of the Phenomenon
Alexandru Constantin Serban, Erik Poll, Joost Visser
We provide a complete characterisation of the phenomenon of adversarial examples - inputs intentionally crafted to fool machine learning models. We aim to cover all the important c…
cs.AI2018★ 16 cited
Safe Reinforcement Learning via Probabilistic Shields
Nils Jansen, Bettina Könighofer, Sebastian Junges +2
This paper targets the efficient construction of a safety shield for decision making in scenarios that incorporate uncertainty. Markov decision processes (MDPs) are prominent model…