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Autor:
Biton, Dudi, Misra, Aditi, Levy, Efrat, Kotak, Jaidip, Bitton, Ron, Schuster, Roei, Papernot, Nicolas, Elovici, Yuval, Nassi, Ben
Machine learning (ML) models are known to be vulnerable to a number of attacks that target the integrity of their predictions or the privacy of their training data. To carry out these attacks, a black-box adversary must typically possess the ability
Externí odkaz:
http://arxiv.org/abs/2309.02159
