May 16, 2024, 4:41 a.m. | Rajiv Thummala, Shristi Sharma, Matteo Calabrese, Gregory Falco

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.08834v1 Announce Type: new
Abstract: Spacecraft are among the earliest autonomous systems. Their ability to function without a human in the loop have afforded some of humanity's grandest achievements. As reliance on autonomy grows, space vehicles will become increasingly vulnerable to attacks designed to disrupt autonomous processes-especially probabilistic ones based on machine learning. This paper aims to elucidate and demonstrate the threats that adversarial machine learning (AML) capabilities pose to spacecraft. First, an AML threat taxonomy for spacecraft is introduced. …

abstract adversarial adversarial machine learning arxiv attacks autonomous autonomous systems autonomy become cs.ai cs.cr cs.lg disrupt function human human in the loop humanity loop machine machine learning ones processes reliance space spacecraft systems threats type vehicles vulnerable will

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