669 citations · 778 across the 10 of their papers we have counts for
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cs.LG2021★ 1 cited
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses
Buse G. A. Tekgul, Shelly Wang, Samuel Marchal +1
Deep reinforcement learning (DRL) is vulnerable to adversarial perturbations. Adversaries can mislead the policies of DRL agents by perturbing the state of the environment observed…
cs.LG2019★ 7 cited
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Buse Gul Atli, Sebastian Szyller, Mika Juuti +2
Recently, machine learning (ML) has introduced advanced solutions to many domains. Since ML models provide business advantage to model owners, protecting intellectual property of M…