GAN-based Domain Inference Attack. (arXiv:2212.11810v1 [cs.LG])

Model-based attacks can infer training data information from deep neural
network models. These attacks heavily depend on the attacker's knowledge of the
application domain, e.g., using it to determine the auxiliary data for
model-inversion attacks. However, attackers may not know what the model is used
for in practice. We propose a generative adversarial network (GAN) based method
to explore likely or similar domains of a target model -- the model domain
inference (MDI) attack. For a given target (classification) model, …

attack domain gan