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Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2901469
Abstract: We show that end-to-end learning of communication systems through deep neural network autoencoders can be extremely vulnerable to physical adversarial attacks. Specifically, we elaborate how an attacker can craft effective physical black-box adversarial attacks. Due…
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Keywords:
end end;
adversarial attacks;
physical adversarial;
communication ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3189783
Abstract: Collaborative Robots (cobots) are regarded as highly safety-critical cyber-physical systems (CPSs) owing to their close physical interactions with humans. In settings such as smart factories, they are frequently augmented with AI. For example, in order…
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Keywords:
robotic arm;
physical adversarial;
adversarial attack;
attack robotic ... See more keywords