Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

8 Sep 2018Ambra DemontisMarco MelisMaura PintorMatthew JagielskiBattista BiggioAlina OpreaCristina Nita-RotaruFabio Roli

Transferability captures the ability of an attack against a machine-learning model to be effective against a different, potentially unknown, model. Empirical evidence for transferability has been shown in previous work, but the underlying reasons why an attack transfers or not are not yet well understood... (read more)

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