activity
20122022
most citedModel-Based Testing IoT Communication via Active Automata Learning

119 citations · 170 across the 13 of their papers we have counts for

collaborators

24 papers

cs.LG2022

Online Shielding for Reinforcement Learning

Bettina Könighofer, Julian Rudolf, Alexander Palmisano +2

Besides the recent impressive results on reinforcement learning (RL), safety is still one of the major research challenges in RL. RL is a machine-learning approach to determine nea…

cs.LG2022

Automata Learning meets Shielding

Martin Tappler, Stefan Pranger, Bettina Könighofer +3

Safety is still one of the major research challenges in reinforcement learning (RL). In this paper, we address the problem of how to avoid safety violations of RL agents during exp…

cs.CR2021

Proving SIFA Protection of Masked Redundant Circuits

Vedad Hadzic, Robert Primas, Roderick Bloem

Implementation attacks like side-channel and fault attacks pose a considerable threat to cryptographic devices that are physically accessible by an attacker. As a consequence, devi…

cs.LO2021

TEMPEST -- Synthesis Tool for Reactive Systems and Shields in Probabilistic Environments

Stefan Pranger, Bettina Könighofer, Lukas Posch +1

We present Tempest, a synthesis tool to automatically create correct-by-construction reactive systems and shields from qualitative or quantitative specifications in probabilistic e…

cs.LO2020

Online Shielding for Stochastic Systems

Bettina Könighofer, Julian Rudolf, Alexander Palmisano +2

In this paper, we propose a method to develop trustworthy reinforcement learning systems. To ensure safety especially during exploration, we automatically synthesize a correct-by-c…

cs.FL2020

Safety Synthesis Sans Specification

Roderick Bloem, Hana Chockler, Masoud Ebrahimi +2

We define the problem of learning a transducer from a target language containing possibly conflicting transducers, using membership queries and conjecture queries. The re…